From 5c8a8017a24ccbc5950e9448a47a7d13472f1dd4 Mon Sep 17 00:00:00 2001 From: oousmane Date: Fri, 6 Dec 2024 01:08:28 +0100 Subject: [PATCH] usage examples --- .Rbuildignore | 2 + DESCRIPTION | 19 +- LICENSE | 2 + LICENSE.md | 21 + R/afribat.R | 24 + R/afribats_sf.R | 22 + R/diversity-indices.R | 215 + R/hello.R | 18 - R/path-to-file.R | 29 + R/sysdata.rda | Bin 0 -> 441849 bytes README.Rmd | 264 + README.md | 284 + data-raw/afribat.R | 29 + data/afribat.R | 18 + docs/.nojekyll | 1 + docs/404.html | 107 + docs/LICENSE-text.html | 76 + docs/LICENSE.html | 80 + docs/apple-touch-icon.png | Bin 0 -> 26619 bytes docs/authors.html | 95 + docs/bootstrap-toc.css | 60 + docs/bootstrap-toc.js | 159 + docs/docsearch.css | 148 + docs/docsearch.js | 85 + docs/favicon-96x96.png | Bin 0 -> 9503 bytes docs/favicon.ico | Bin 0 -> 15086 bytes docs/favicon.svg | 3 + docs/index.html | 358 + docs/link.svg | 12 + docs/logo.png | Bin 0 -> 37039 bytes docs/pkgdown.css | 384 + docs/pkgdown.js | 108 + docs/pkgdown.yml | 5 + docs/reference/Rplot001.png | Bin 0 -> 1011 bytes docs/reference/afribats.html | 131 + docs/reference/afribats_sf.html | 128 + docs/reference/evenness.html | 121 + docs/reference/figures/README-pressure-1.png | Bin 0 -> 22985 bytes docs/reference/figures/logo-afribat.jpg | Bin 0 -> 231546 bytes docs/reference/figures/logo.png | Bin 0 -> 37039 bytes docs/reference/index.html | 102 + docs/reference/margalef.html | 139 + docs/reference/path_to_file.html | 149 + docs/reference/shannon_weiner.html | 116 + docs/reference/simpson.html | 117 + docs/site.webmanifest | 21 + docs/sitemap.xml | 16 + docs/web-app-manifest-192x192.png | Bin 0 -> 29634 bytes docs/web-app-manifest-512x512.png | Bin 0 -> 163712 bytes inst/extdata/afribats.csv | 17286 +++++++++++++++++ inst/extdata/afribats_sf.gpkg | Bin 0 -> 3334144 bytes man/afribats.Rd | 38 + man/afribats_sf.Rd | 37 + man/evenness.Rd | 36 + man/figures/README-pressure-1.png | Bin 0 -> 22985 bytes man/figures/logo.png | Bin 0 -> 37039 bytes man/hello.Rd | 12 - 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Use four spaces when indenting paragraphs within the Description. -License: What license is it under? +Authors@R: + person("Ousmane", "Ouedraogo", , "oousmane@proton.me", role = c("aut", "cre"), + comment = c(ORCID = "0000-0002-6349-4146")) +Maintainer: The package maintainer +Description: A curated data of occurrences, distributions and conservation metrics for sub-Saharan bats +License: MIT + file LICENSE Encoding: UTF-8 LazyData: true URL: https://github.com/oousmane/afribat BugReports: https://github.com/oousmane/afribat/issues +RoxygenNote: 7.3.2 +Depends: + R (>= 2.10) +Imports: + readr, + sf diff --git a/LICENSE b/LICENSE new file mode 100644 index 0000000..12d3339 --- /dev/null +++ b/LICENSE @@ -0,0 +1,2 @@ +YEAR: 2024 +COPYRIGHT HOLDER: afribat authors diff --git a/LICENSE.md b/LICENSE.md new file mode 100644 index 0000000..b8db9fb --- /dev/null +++ b/LICENSE.md @@ -0,0 +1,21 @@ +# MIT License + +Copyright (c) 2024 afribat authors + +Permission is hereby granted, free of charge, to any person obtaining a copy +of this software and associated documentation files (the "Software"), to deal +in the Software without restriction, including without limitation the rights +to use, copy, modify, merge, publish, distribute, sublicense, and/or sell +copies of the Software, and to permit persons to whom the Software is +furnished to do so, subject to the following conditions: + +The above copyright notice and this permission notice shall be included in all +copies or substantial portions of the Software. + +THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, +FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE +AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER +LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, +OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE +SOFTWARE. diff --git a/R/afribat.R b/R/afribat.R new file mode 100644 index 0000000..45efde2 --- /dev/null +++ b/R/afribat.R @@ -0,0 +1,24 @@ +#' Bat records as tibble. +#' Occurrence records of 266 bat species from 53 genera and 12 families +#' (order Chiroptera, class Mammalia) from sub-Saharan Africa. +#' +#' @format A tibble with 17285 rows and 13 variables: +#' \describe{ +#' \item{family}{a character denoting family of bat record } +#' \item{genus}{a character denoting genus of bat record} +#' \item{species}{a character denoting species of bat record} +#' \item{museum}{ a character denoting museum accession number of bat record} +#' \item{date}{a date denoting date on which the bat was collected or otherwise recorded} +#' \item{year}{an integer denoting body mass (grams)} +#' \item{country}{a character denoting country in which the bat was recorded} +#' \item{location}{a character denoting name of the location or locality that the bat was recorded} +#' \item{latitude}{ a double denoting latitude in decimal degrees (EPSG:4326) of the record} +#' \item{longitude}{a double denoting longitude in decimal degrees (EPSG:4326) of the record} +#' \item{reference}{a character denoting source of the record, mostly papers} +#' \item{holotype}{a character denoting whether the record is a type specimen} +#' \item{checked}{a character denoting whether the bat specimen was examined by the authors} +#' } +#' @source {Originally published in: Monadjem, A., Montauban, C., Webala, P.W. et al. African bat database: curated data of occurrences, distributions and conservation metrics for sub-Saharan bats. Sci Data 11, 1309 (2024). https://doi.org/10.1038/s41597-024-04170-71} +"afribats" + + diff --git a/R/afribats_sf.R b/R/afribats_sf.R new file mode 100644 index 0000000..073e891 --- /dev/null +++ b/R/afribats_sf.R @@ -0,0 +1,22 @@ +#' Bat records as simple features. +#' Occurrence records of 266 bat species from 53 genera and 12 families +#' (order Chiroptera, class Mammalia) from sub-Saharan Africa. +#' +#' @format A tibble with 17255 rows and 12 variables: +#' \describe{ +#' \item{family}{a character denoting family of bat record } +#' \item{genus}{a character denoting genus of bat record} +#' \item{species}{a character denoting species of bat record} +#' \item{museum}{ a character denoting museum accession number of bat record} +#' \item{date}{a date denoting date on which the bat was collected or otherwise recorded} +#' \item{year}{an integer denoting body mass (grams)} +#' \item{country}{a character denoting country in which the bat was recorded} +#' \item{location}{a character denoting name of the location or locality that the bat was recorded} +#' \item{reference}{a character denoting source of the record, mostly papers} +#' \item{holotype}{a character denoting whether the record is a type specimen} +#' \item{checked}{a character denoting whether the bat specimen was examined by the authors} +#' \item{geometry}{ the geometry list column, crs is EPSG:4326} + +#' } +#' @source {Originally published in: Monadjem, A., Montauban, C., Webala, P.W. et al. African bat database: curated data of occurrences, distributions and conservation metrics for sub-Saharan bats. Sci Data 11, 1309 (2024). https://doi.org/10.1038/s41597-024-04170-71} +"afribats_sf" diff --git a/R/diversity-indices.R b/R/diversity-indices.R new file mode 100644 index 0000000..47f6775 --- /dev/null +++ b/R/diversity-indices.R @@ -0,0 +1,215 @@ +#' Calculate Margalef's Diversity Index +#' +#' This function calculates Margalef's diversity index, a measure of species richness +#' relative to the total number of individuals, using species names. +#' +#' @param x A character vector of species names. Each element represents an individual of a species. +#' @param details Logical. If `TRUE`, the function returns a list containing the +#' Margalef index, the number of unique species (\code{S}), and the total number of individuals (\code{N}). +#' Defaults to \code{FALSE}. +#' +#' @return If \code{return_details = FALSE} (default), a numeric value representing Margalef's diversity index. +#' If \code{return_details = TRUE}, a list with the following components: +#' \itemize{ +#' \item \code{Margalef_Index}: The calculated Margalef index. +#' \item \code{S}: The number of unique species. +#' \item \code{N}: The total number of individuals. +#' } +#' Returns \code{NA} if the index is undefined (e.g., fewer than two species or individuals). +#' +#' @examples +#' # Example 1: Calculate Margalef's index for a simple dataset +#' x <- c("jonesi","gambiensis","hispida","hispida","thebaica","helvum","helvum","gambianus","gambianus","pusillus","monstrosus","aegyptiacus") +#' margalef(x) # Simple output +#' +#' # Example 2: Return detailed results +#' margalef(x, details = TRUE) +#' +#' # Example 3: Handle edge cases +#' margalef(c("gambiensis")) # Returns NA with a warning +#' +#' @note Margalef's index is undefined if there is only one species or individual. +#' The function will return \code{NA} in such cases with a warning. +#' @source Margalef, R. (1958) Information Theory in Ecology. General Systems, 3, 36-71. +#' @export +margalef <- function(x, details = FALSE) { + + # Check for empty input + if (length(x) == 0) stop("x should not be empty") + + # Check if input is a character vector + if (!is.character(x)) stop("x should be a vector of character") + + # Calculate the number of unique species (s) and total individuals (n) + s <- length(unique(x)) + n <- length(x) + + # Handle edge cases + if (n <= 1 || s <= 1) { + warning("Margalef index is undefined for fewer than 2 species or individuals") + return(NA) + } + + # Calculate Margalef's index + d <- (s - 1) / log(n) + + # Return results + if (details) { + return(list(margalef_index = d, S = s, N = n)) + } else { + return(d) + } +} + +#' Calculate Shannon-Weiner Diversity Index +#' +#' This function calculates the Shannon-Weiner diversity index, a measure of species diversity +#' based on species relative abundance. +#' +#' @param x A character vector of species names. Each element represents an individual of a species. +#' +#' @return A numeric value representing the Shannon-Weiner diversity index. Returns \code{NA} if the input +#' vector is empty or contains fewer than two unique species. +#' +#' @examples +#' # Example 1: Calculate Shannon-Weiner index for a dataset +#' x <- c("jonesi","gambiensis","hispida","hispida","thebaica","helvum","helvum","gambianus","gambianus","pusillus","monstrosus","aegyptiacus") +#' shannon_weiner(x) +#' +#' # Example 2: Handle edge cases +#' shannon_weiner(c("jonesi")) # Returns 0 +#' shannon_weiner(character(0)) # Returns NA with a warning +#' +#' @note The Shannon-Weiner index is undefined for an empty vector or vectors with only one unique species. +#' For such cases, the function will return \code{NA} or 0 as appropriate. +#' +#' @export +shannon_weiner <- function(x) { + # Check if input is a character vector + if (!is.character(x)) stop("x should be a vector of character") + + # Check for empty input + if (length(x) == 0) { + warning("Input vector is empty. Returning NA.") + return(NA_real_) + } + + # Calculate relative abundance (p) + p <- table(x) / length(x) + + # Handle edge case: only one species present + if (length(p) < 2) { + return(0) # Shannon-Weiner index is 0 for a single species + } + + # Calculate Shannon-Weiner index + H <- -sum(p * log(p)) + return(H) +} + +#' Calculate Evenness Index +#' +#' This function calculates the species evenness, which is a measure of how evenly individuals +#' are distributed among the different species in a community. It is based on the Shannon-Weiner diversity index. +#' +#' @param x A character vector of species names. Each element represents an individual of a species. +#' +#' @return A numeric value representing the evenness index. Returns \code{NA} if the input vector is empty +#' or contains fewer than two unique species. +#' +#' @examples +#' # Example 1: Calculate evenness for a dataset +#' x <- c("jonesi","gambiensis","hispida","hispida","thebaica","helvum","helvum","gambianus","gambianus","pusillus","monstrosus","aegyptiacus") +#' evenness(x) +#' +#' # Example 2: Handle edge cases +#' evenness(c("thebaica")) # Returns NA with a warning +#' evenness(character(0)) # Returns NA with a warning +#' +#' @note Evenness is undefined for empty vectors or vectors with fewer than two unique species. +#' The function will return \code{NA} in such cases with a warning. +#' +#' @seealso \code{\link{shannon_weiner}} for the Shannon-Weiner diversity index. +#' +#' @export + +evenness <- function(x) { + # Check if input is a character vector + if (!is.character(x)) stop("x should be a vector of character") + + # Check for empty input + if (length(x) == 0) { + warning("Input vector is empty. Returning NA.") + return(NA) + } + + # Calculate the number of unique species + s <- length(unique(x)) + + # Handle edge case: only one species present + if (s < 2) { + warning("Evenness is undefined for fewer than 2 species. Returning NA.") + return(NA) + } + + # Calculate Shannon-Weiner index + H <- shannon_weiner(x) + + # Calculate evenness + J <- H / log(s) + + return(J) +} + +#' Calculate Simpson's Diversity Index +#' +#' This function calculates Simpson's diversity index, which measures the probability +#' that two individuals randomly selected from a sample will belong to different species. +#' +#' @param x A character vector of species names. Each element represents an individual of a species. +#' +#' @return A numeric value representing Simpson's diversity index. Returns \code{NA} if the input vector +#' is empty or contains fewer than two unique species. +#' +#' @examples +#' # Example 1: Calculate Simpson's diversity index +#' x <- c("jonesi","gambiensis","hispida","hispida","thebaica","helvum","helvum","gambianus","gambianus","pusillus","monstrosus","aegyptiacus") +#' simpson(x) +#' +#' # Example 2: Handle edge cases +#' simpson(c("pusillus")) # Returns NA with a warning +#' simpson(character(0)) # Returns NA with a warning +#' +#' @note Simpson's index is undefined for an empty vector or vectors with only one unique species. +#' The function will return \code{NA} in such cases with a warning. +#' +#' @export +simpson <- function(x) { + # Check if input is a character vector + if (!is.character(x)) stop("x should be a vector of character") + + # Check for empty input + if (length(x) == 0) { + warning("Input vector is empty. Returning NA.") + return(NA_real_) + } + + # Calculate the number of unique species + species_count <- length(unique(x)) + + # Handle edge case: only one species present + if (species_count < 2) { + warning("Simpson's index is undefined for fewer than 2 species. Returning NA.") + return(NA_real_) + } + + # Calculate relative abundances (p) + p <- table(x) / length(x) + + # Calculate Simpson's index + D <- 1 / sum(p^2) + + return(D) +} + + diff --git a/R/hello.R b/R/hello.R deleted file mode 100644 index fa3b065..0000000 --- a/R/hello.R +++ /dev/null @@ -1,18 +0,0 @@ -# Hello, world! -# -# This is an example function named 'hello' -# which prints 'Hello, world!'. -# -# You can learn more about package authoring with RStudio at: -# -# https://r-pkgs.org -# -# Some useful keyboard shortcuts for package authoring: -# -# Install Package: 'Cmd + Shift + B' -# Check Package: 'Cmd + Shift + E' -# Test Package: 'Cmd + Shift + T' - -hello <- function() { - print("Hello, world!") -} diff --git a/R/path-to-file.R b/R/path-to-file.R new file mode 100644 index 0000000..8b568e7 --- /dev/null +++ b/R/path-to-file.R @@ -0,0 +1,29 @@ +#' Get file path to `afribats.csv` and `afribats_sf.gpkg` files +#' +#' afribat comes bundled with one csv and one gpkg file in its `inst/extdata` +#' directory. This function make them easy to access. +#' +#' The data in each file is the almost the same. In gpkg file, all missing positions coordinates were removed. +#' +#' +#' @param path Name of file in quotes with extension; +#' `"afribats.csv"` and `"afribats_sf.gpkg"` will work. +#' If `NULL`, the example files will be listed. +#' @export +#' @examples +#' # load libraries +#' library(sf) +#' library(readr) +#' +#' path_to_file("afribats.csv") +#' head(read_csv(path_to_file("afribats.csv"))) +#' head(read_sf(path_to_file("afribats_sf.gpkg"))) +#' +#' @source This function is adapted from `readxl::readxl_example()`. +path_to_file <- function(path = NULL) { + if (is.null(path)) { + dir(system.file("extdata", package = "afribat")) + } else { + system.file("extdata", path, package = "afribat", mustWork = TRUE) + } +} diff --git a/R/sysdata.rda b/R/sysdata.rda new file mode 100644 index 0000000000000000000000000000000000000000..736c0067189524e0959d1a413b4f8d4e2fe9a2e6 GIT binary patch literal 441849 zcmafZRa6^H5N@Ef6fH$tihI!F#l1jqO_4yMxEA-|Uff-S1W9p+qQ%|a-QBtUuf5%K 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z3}dq#$_{3xb#g+O1Cakp)3jz67Z+#dn{!RCrIhm4H0`uwnkwZw<}N#SA>!mPwq}^> z<906R8gnV75;RTwp@SvXck8^!iDAyu=v?>GdPpf%uax==omJ*!FlSn)bKSdZcqr)_ iP19POU5H%n`ucxYUvPcX`q!}l0000 +Authors and Citation • afribat + + +
+
+ + + +
+
+
+ + + +
  • +

    Ousmane Ouedraogo. Author, maintainer. +

    +
  • +
+
+
+

Citation

+ Source: DESCRIPTION +
+
+ + +

Ouedraogo O (2024). +afribat: African bat database in R. +R package version 0.1.0, https://github.com/oousmane/afribat. +

+
@Manual{,
+  title = {afribat: African bat database in R},
+  author = {Ousmane Ouedraogo},
+  year = {2024},
+  note = {R package version 0.1.0},
+  url = {https://github.com/oousmane/afribat},
+}
+ +
+ +
+ + + +
+ +
+

Site built with pkgdown 2.1.0.

+
+ +
+ + + + + + + + diff --git a/docs/bootstrap-toc.css b/docs/bootstrap-toc.css new file mode 100644 index 0000000..5a85941 --- /dev/null +++ b/docs/bootstrap-toc.css @@ -0,0 +1,60 @@ +/*! + * Bootstrap Table of Contents v0.4.1 (http://afeld.github.io/bootstrap-toc/) + * Copyright 2015 Aidan Feldman + * Licensed under MIT (https://github.com/afeld/bootstrap-toc/blob/gh-pages/LICENSE.md) */ + +/* modified from https://github.com/twbs/bootstrap/blob/94b4076dd2efba9af71f0b18d4ee4b163aa9e0dd/docs/assets/css/src/docs.css#L548-L601 */ + +/* All levels of nav */ +nav[data-toggle='toc'] .nav > li > a { + display: block; + padding: 4px 20px; + font-size: 13px; + font-weight: 500; + color: #767676; +} +nav[data-toggle='toc'] .nav > li > a:hover, +nav[data-toggle='toc'] .nav > li > a:focus { + padding-left: 19px; + color: #563d7c; + text-decoration: none; + background-color: transparent; + border-left: 1px solid #563d7c; +} +nav[data-toggle='toc'] .nav > .active > a, +nav[data-toggle='toc'] .nav > .active:hover > a, +nav[data-toggle='toc'] .nav > .active:focus > a { + padding-left: 18px; + font-weight: bold; + color: #563d7c; + background-color: transparent; + border-left: 2px solid #563d7c; +} + +/* Nav: second level (shown on .active) */ +nav[data-toggle='toc'] .nav .nav { + display: none; /* Hide by default, but at >768px, show it */ + padding-bottom: 10px; +} +nav[data-toggle='toc'] .nav .nav > li > a { + padding-top: 1px; + padding-bottom: 1px; + padding-left: 30px; + font-size: 12px; + font-weight: normal; +} +nav[data-toggle='toc'] .nav .nav > li > a:hover, +nav[data-toggle='toc'] .nav .nav > li > a:focus { + padding-left: 29px; +} +nav[data-toggle='toc'] .nav .nav > .active > a, +nav[data-toggle='toc'] .nav .nav > .active:hover > a, +nav[data-toggle='toc'] .nav .nav > .active:focus > a { + padding-left: 28px; + font-weight: 500; +} + +/* from https://github.com/twbs/bootstrap/blob/e38f066d8c203c3e032da0ff23cd2d6098ee2dd6/docs/assets/css/src/docs.css#L631-L634 */ +nav[data-toggle='toc'] .nav > .active > ul { + display: block; +} diff --git a/docs/bootstrap-toc.js b/docs/bootstrap-toc.js new file mode 100644 index 0000000..1cdd573 --- /dev/null +++ b/docs/bootstrap-toc.js @@ -0,0 +1,159 @@ +/*! + * Bootstrap Table of Contents v0.4.1 (http://afeld.github.io/bootstrap-toc/) + * Copyright 2015 Aidan Feldman + * Licensed under MIT (https://github.com/afeld/bootstrap-toc/blob/gh-pages/LICENSE.md) */ +(function() { + 'use strict'; + + window.Toc = { + helpers: { + // return all matching elements in the set, or their descendants + findOrFilter: function($el, selector) { + // http://danielnouri.org/notes/2011/03/14/a-jquery-find-that-also-finds-the-root-element/ + // http://stackoverflow.com/a/12731439/358804 + var $descendants = $el.find(selector); + return $el.filter(selector).add($descendants).filter(':not([data-toc-skip])'); + }, + + generateUniqueIdBase: function(el) { + var text = $(el).text(); + var anchor = text.trim().toLowerCase().replace(/[^A-Za-z0-9]+/g, '-'); + return anchor || el.tagName.toLowerCase(); + }, + + generateUniqueId: function(el) { + var anchorBase = this.generateUniqueIdBase(el); + for (var i = 0; ; i++) { + var anchor = anchorBase; + if (i > 0) { + // add suffix + anchor += '-' + i; + } + // check if ID already exists + if (!document.getElementById(anchor)) { + return anchor; + } + } + }, + + generateAnchor: function(el) { + if (el.id) { + return el.id; + } else { + var anchor = this.generateUniqueId(el); + el.id = anchor; + return anchor; + } + }, + + createNavList: function() { + return $(''); + }, + + createChildNavList: function($parent) { + var $childList = this.createNavList(); + $parent.append($childList); + return $childList; + }, + + generateNavEl: function(anchor, text) { + var $a = $(''); + $a.attr('href', '#' + anchor); + $a.text(text); + var $li = $('
  • '); + $li.append($a); + return $li; + }, + + generateNavItem: function(headingEl) { + var anchor = this.generateAnchor(headingEl); + var $heading = $(headingEl); + var text = $heading.data('toc-text') || $heading.text(); + return this.generateNavEl(anchor, text); + }, + + // Find the first heading level (`

    `, then `

    `, etc.) that has more than one element. Defaults to 1 (for `

    `). + getTopLevel: function($scope) { + for (var i = 1; i <= 6; i++) { + var $headings = this.findOrFilter($scope, 'h' + i); + if ($headings.length > 1) { + return i; + } + } + + return 1; + }, + + // returns the elements for the top level, and the next below it + getHeadings: function($scope, topLevel) { + var topSelector = 'h' + topLevel; + + var secondaryLevel = topLevel + 1; + var secondarySelector = 'h' + secondaryLevel; + + return this.findOrFilter($scope, topSelector + ',' + secondarySelector); + }, + + getNavLevel: function(el) { + return parseInt(el.tagName.charAt(1), 10); + }, + + populateNav: function($topContext, topLevel, $headings) { + var $context = $topContext; + var $prevNav; + + var helpers = this; + $headings.each(function(i, el) { + var $newNav = helpers.generateNavItem(el); + var navLevel = helpers.getNavLevel(el); + + // determine the proper $context + if (navLevel === topLevel) { + // use top level + $context = $topContext; + } else if ($prevNav && $context === $topContext) { + // create a new level of the tree and switch to it + $context = helpers.createChildNavList($prevNav); + } // else use the current $context + + $context.append($newNav); + + $prevNav = $newNav; + }); + }, + + parseOps: function(arg) { + var opts; + if (arg.jquery) { + opts = { + $nav: arg + }; + } else { + opts = arg; + } + opts.$scope = opts.$scope || $(document.body); + return opts; + } + }, + + // accepts a jQuery object, or an options object + init: function(opts) { + opts = this.helpers.parseOps(opts); + + // ensure that the data attribute is in place for styling + opts.$nav.attr('data-toggle', 'toc'); + + var $topContext = this.helpers.createChildNavList(opts.$nav); + var topLevel = this.helpers.getTopLevel(opts.$scope); + var $headings = this.helpers.getHeadings(opts.$scope, topLevel); + this.helpers.populateNav($topContext, topLevel, $headings); + } + }; + + $(function() { + $('nav[data-toggle="toc"]').each(function(i, el) { + var $nav = $(el); + Toc.init($nav); + }); + }); +})(); diff --git a/docs/docsearch.css b/docs/docsearch.css new file mode 100644 index 0000000..e5f1fe1 --- /dev/null +++ b/docs/docsearch.css @@ -0,0 +1,148 @@ +/* Docsearch -------------------------------------------------------------- */ +/* + Source: https://github.com/algolia/docsearch/ + License: MIT +*/ + +.algolia-autocomplete { + display: block; + -webkit-box-flex: 1; + -ms-flex: 1; + flex: 1 +} + +.algolia-autocomplete .ds-dropdown-menu { + width: 100%; + min-width: none; + max-width: none; + padding: .75rem 0; + background-color: #fff; + background-clip: padding-box; + border: 1px solid rgba(0, 0, 0, .1); + box-shadow: 0 .5rem 1rem rgba(0, 0, 0, .175); +} + +@media (min-width:768px) { + .algolia-autocomplete .ds-dropdown-menu { + width: 175% + } +} + +.algolia-autocomplete .ds-dropdown-menu::before { + display: none +} + +.algolia-autocomplete .ds-dropdown-menu [class^=ds-dataset-] { + padding: 0; + background-color: rgb(255,255,255); + border: 0; + max-height: 80vh; +} + +.algolia-autocomplete .ds-dropdown-menu .ds-suggestions { + margin-top: 0 +} + +.algolia-autocomplete .algolia-docsearch-suggestion { + padding: 0; + overflow: visible +} + +.algolia-autocomplete .algolia-docsearch-suggestion--category-header { + padding: .125rem 1rem; + margin-top: 0; + font-size: 1.3em; + font-weight: 500; + color: #00008B; + border-bottom: 0 +} + +.algolia-autocomplete .algolia-docsearch-suggestion--wrapper { + float: none; + padding-top: 0 +} + +.algolia-autocomplete .algolia-docsearch-suggestion--subcategory-column { + float: none; + width: auto; + padding: 0; + text-align: left +} + +.algolia-autocomplete .algolia-docsearch-suggestion--content { + float: none; + width: auto; + padding: 0 +} + +.algolia-autocomplete .algolia-docsearch-suggestion--content::before { + display: none +} + +.algolia-autocomplete .ds-suggestion:not(:first-child) .algolia-docsearch-suggestion--category-header { + padding-top: .75rem; + margin-top: .75rem; + border-top: 1px solid rgba(0, 0, 0, .1) +} + +.algolia-autocomplete .ds-suggestion .algolia-docsearch-suggestion--subcategory-column { + display: block; + padding: .1rem 1rem; + margin-bottom: 0.1; + font-size: 1.0em; + font-weight: 400 + /* display: none */ +} + +.algolia-autocomplete .algolia-docsearch-suggestion--title { + display: block; + padding: .25rem 1rem; + margin-bottom: 0; + font-size: 0.9em; + font-weight: 400 +} + +.algolia-autocomplete .algolia-docsearch-suggestion--text { + padding: 0 1rem .5rem; + margin-top: -.25rem; + font-size: 0.8em; + font-weight: 400; + line-height: 1.25 +} + +.algolia-autocomplete .algolia-docsearch-footer { + width: 110px; + height: 20px; + z-index: 3; + margin-top: 10.66667px; + float: right; + font-size: 0; + line-height: 0; +} + +.algolia-autocomplete .algolia-docsearch-footer--logo { + background-image: url("data:image/svg+xml;utf8,"); + background-repeat: no-repeat; + background-position: 50%; + background-size: 100%; + overflow: hidden; + text-indent: -9000px; + width: 100%; + height: 100%; + display: block; + transform: translate(-8px); +} + +.algolia-autocomplete .algolia-docsearch-suggestion--highlight { + color: #FF8C00; + background: rgba(232, 189, 54, 0.1) +} + + +.algolia-autocomplete .algolia-docsearch-suggestion--text .algolia-docsearch-suggestion--highlight { + box-shadow: inset 0 -2px 0 0 rgba(105, 105, 105, .5) +} + +.algolia-autocomplete .ds-suggestion.ds-cursor .algolia-docsearch-suggestion--content { + background-color: rgba(192, 192, 192, .15) +} diff --git a/docs/docsearch.js b/docs/docsearch.js new file mode 100644 index 0000000..b35504c --- /dev/null +++ b/docs/docsearch.js @@ -0,0 +1,85 @@ +$(function() { + + // register a handler to move the focus to the search bar + // upon pressing shift + "/" (i.e. "?") + $(document).on('keydown', function(e) { + if (e.shiftKey && e.keyCode == 191) { + e.preventDefault(); + $("#search-input").focus(); + } + }); + + $(document).ready(function() { + // do keyword highlighting + /* modified from https://jsfiddle.net/julmot/bL6bb5oo/ */ + var mark = function() { + + var referrer = document.URL ; + var paramKey = "q" ; + + if (referrer.indexOf("?") !== -1) { + var qs = referrer.substr(referrer.indexOf('?') + 1); + var qs_noanchor = qs.split('#')[0]; + var qsa = qs_noanchor.split('&'); + var keyword = ""; + + for (var i = 0; i < qsa.length; i++) { + var currentParam = qsa[i].split('='); + + if (currentParam.length !== 2) { + continue; + } + + if (currentParam[0] == paramKey) { + keyword = decodeURIComponent(currentParam[1].replace(/\+/g, "%20")); + } + } + + if (keyword !== "") { + $(".contents").unmark({ + done: function() { + $(".contents").mark(keyword); + } + }); + } + } + }; + + mark(); + }); +}); + +/* Search term highlighting ------------------------------*/ + +function matchedWords(hit) { + var words = []; + + var hierarchy = hit._highlightResult.hierarchy; + // loop to fetch from lvl0, lvl1, etc. + for (var idx in hierarchy) { + words = 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bat database in R • afribat + + + + + + + + + + + + + + + + + + + +
    +
    + + + + +
    +
    +
    + + + +

    The {afribat} R package provides access to the African Bat Database in the form of tibble (tabular) or sf (spatial) objects. This package is designed to enhance reproducibility in ecological and evolutionary research by seamlessly integrating AfriBat data into the R programming ecosystem. It serves as a valuable tool for researchers focusing on bat ecology, biodiversity, and conservation.

    +
    +

    Background +

    +

    The African bat database is the first accessible dataset of occurrence records, distribution models and conservation metrics for all bat species in sub-Saharan Africa where all the records have been carefully examined and corrected for current taxonomy. This database has been a long time in the making and will be crucial in resolving the distributions of poorly recorded bat taxa in sub-Saharan Africa.

    +

    The database contains 17,285 unique locality records of all of the 266 species of bats currently recognized from sub-Saharan Africa (Fig. 2). The number of species recognized in this region has increased by 60% in the last 100 years, and 17% since 2000. In recent years, the increase in species numbers was primarily due to new species being discovered (both de novo descriptions and epithet splits) in the families Vespertilionidae, Rhinolophidae, Pteropodidae and Miniopteridae.

    +

    The database is intended to be a dynamic, living dataset that will be updated regularly, at least once a year, or as new data becomes available, and errors are identified and corrected. Future updates will welcome new or previously unavailable data, will incorporate taxonomic classification changes, and will include the distribution of newly resolved and described species. Updates of the dataset will be made directly on Github (https://github.com/kanead/Bat_database)

    +
    +
    +

    Installation +

    +

    You can install the development version of afribat from GitHub with:

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    +# install.packages("pak")
    +pak::pak("oousmane/afribat")
    +

    Note: Two important dependencies of {afribat}, the {sf} package for spatial data science and the {readr} package for tabular data read in and write out , require some low-level software libraries to be installed on your system. Depending on which operating system you use, this can mean that you have to install these system requirements first, before you can install {afribat}. See the installation guides of sf and readr or details. To use effectively the data package, consider to install the entire tidyverse ecosystem.

    +

    If you want to install {sf} and readr or tydiverse

    +
    +# install sf and readr only
    +  install.packages(
    +    c(
    +      "sf",
    +      "readr"
    +    )
    +  )
    +# install sf and tidyverse, readr is actually included in tidyverse (a bit long )
    +  install.packages(
    +    c(
    +      "sf",
    +      "tidyverse"
    +    )
    +  )
    +
    +
    +

    Retrieving data using administrative units +

    +

    This package serves as a comprehensive data resource, bundling the entire database and making it readily available as tibble or sf objects for advanced analysis. Designed to integrate seamlessly into workflows within the R programming environment, it provides a streamlined approach to data handling and spatial analysis.

    +

    The example below demonstrates how to load the spatial version of the database and extract information for a specific administrative level—such as admin1 ie ‘Burkina Faso’, highlighting the package’s flexibility and ease of use. This is for learning purpose. Some considerations are neglicted.

    +
    +library(sf)
    +#> Linking to GEOS 3.11.0, GDAL 3.5.3, PROJ 9.1.0; sf_use_s2() is TRUE
    +library(afribat)
    +
    +
    +# Load data
    +data("afribats_sf", package = "afribat")
    +#> Warning in data("afribats_sf", package = "afribat"): data set 'afribats_sf' not
    +#> found
    +
    +# Load Burkina Faso boundary
    +bf <- read_sf("https://github.com/oousmane/hexburdb/raw/main/map/admin0.gpkg")
    +
    +# Spatial filtering and year filtering
    +bats80 <- st_filter(afribats_sf, bf, .predicate = st_within) |> 
    +  dplyr::filter(year == 1980)
    +
    +# Check if results are empty
    +if (nrow(bats80) == 0) {
    +  stop("No data found for the specified criteria (year 1980)")
    +}
    +
    +# Extract species names
    +species <- bats80 |> 
    +  st_drop_geometry() |> 
    +  dplyr::pull("species") |> 
    +  as.character()
    +
    +# Check species
    +if (length(species) == 0) {
    +  stop("No species data found for the filtered dataset")
    +}
    +
    +# Example usage of margalef index
    +margalef(species)
    +#> [1] 5.595365
    +
    +
    +

    Biodiversity indices +

    +

    {afribat} provides a set of functions to compute common ecological diversity indices. Each index includes its formula, conceptual explanation, and an example. References are provided for further reading.

    +
    +

    Margalef diversity index +

    +

    The Margalef index measures species richness adjusted for sample size. It emphasizes the number of species (SS) relative to the total number of individuals (NN). The formula is given by :

    +

    DM=S−1log(N) +D_M = \frac{S - 1}{\log(N)} + where :

    +
      +
    • +SS: Number of unique species
      +
    • +
    • +NN: Total number of individuals in the sample
    • +
    +

    The Margalef index provides a measure of species richness while accounting for the size of the sample. Larger samples are expected to have more species.

    +

    For further reading see : Margalef, R. (1958). Information theory in ecology. General Systems, 3, 36–71.

    +
    +library(afribat)
    +margalef(species)
    +#> [1] 5.595365
    +
    +
    +

    Shannon-Weiner Index +

    +

    The Shannon-Weiner index measures the diversity of a community by considering both the richness and evenness of species. It is derived from information theory and quantifies the uncertainty (entropy) in predicting the species of an individual randomly selected from the sample. The formula is given by

    +
    +
    +

    Formula +

    +

    H=−∑i=1Spilog(pi) +H = -\sum_{i=1}^{S} p_i \log(p_i) +

    +

    Where:

    +
      +
    • HH: Shannon-Weiner index (diversity)

    • +
    • pip_i: Proportion of individuals belonging to species ii (pi=niNp_i = \frac{n_i}{N})

    • +
    • nin_i: Number of individuals in species ii

    • +
    • NN: Total number of individuals in the community

    • +
    • SS: Total number of unique species

    • +
    +

    The Shannon-Weiner index provides a measure of biodiversity. A higher H′H' value indicates a more diverse and evenly distributed community.

    +

    Example Calculation

    +

    Given the following dataset:

    + + + + + + + + + + + + + + + + + + + +
    SpeciesCount
    Oak3
    Pine2
    Maple1
    +
      +
    • Total individuals (NN) = 3 + 2 + 1 = 6
    • +
    • Proportions (pip_i): +
        +
      • pOak=36=0.5p_{\text{Oak}} = \frac{3}{6} = 0.5
      • +
      • pPine=26=0.333p_{\text{Pine}} = \frac{2}{6} = 0.333
      • +
      • pMaple=16=0.167p_{\text{Maple}} = \frac{1}{6} = 0.167
      • +
      +
    • +
    +

    H=−(0.5log(0.5)+0.333log(0.333)+0.167log(0.167)) +H = -(0.5 \log(0.5) + 0.333 \log(0.333) + 0.167 \log(0.167)) +H=1.011 +H = 1.011 +

    +
    +shannon_weiner(species)
    +#> [1] 2.864875
    +

    Interpretation

    +
      +
    • High HH: Indicates a diverse community with even distribution of species.

    • +
    • Low HH : Suggests dominance by a few species or low species richness.

    • +
    +

    For further reading, see : Shannon, C. E., & Weaver, W. (1949).  The Mathematical Theory of Communication. Urbana, IL: University of Illinois Press.

    +
    +
    +

    Simpson’s Dominance Index +

    +

    The Inverse Simpson’s Index is another diversity measure related to Simpson’s Dominance Index. Instead of quantifying the probability that two randomly selected individuals belong to the same species, it focuses on the effective number of equally abundant species. The formula for Simpson’s index computation is given by :

    +

    D=1∑i=1Spi2 +D = \frac{1}{\sum_{i=1}^{S} p_i^2} +

    +

    Where: - DD: Simpson’s Dominance Index (inverse) - pip_i: Proportion of individuals belonging to species iipi=niNp_i = \frac{n_i}{N} - nin_i: Number of individuals in species ii - NN: Total number of individuals in the community - SS: Total number of unique

    +

    The Inverse Simpson’s Index can be interpreted as the number of equally abundant species necessary to produce the given community diversity. A higher value indicates greater diversity, as it suggests you would need more equally abundant species to achieve the observed distribution.

    +

    Example Calculation

    +

    Given the following dataset:

    + + + + + + + + + + + + + + + + + + + +
    SpeciesCount
    Oak3
    Pine2
    Maple1
    +
      +
    • Total individuals (NN)) = 3+2+1=63 + 2 + 1 = 6 +
    • +
    • Proportions (pip_i): +
        +
      • pOak=36=0.5p_{\text{Oak}} = \frac{3}{6} = 0.5
      • +
      • pPine=26=0.333p_{\text{Pine}} = \frac{2}{6} = 0.333
      • +
      • pMaple=16=0.167p_{\text{Maple}} = \frac{1}{6} = 0.167
      • +
      +
    • +
    +

    ∑pi2=(0.5)2+(0.333)2+(0.167)2=0.25+0.111+0.028=0.389 +\sum p_i^2 = (0.5)^2 + (0.333)^2 + (0.167)^2 = 0.25 + 0.111 + 0.028 = 0.389 +

    +

    Inverse Simpson’s Index=10.389≈2.57 +\text{Inverse Simpson's Index} = \frac{1}{0.389} \approx 2.57 +

    +

    This suggests that the community diversity is roughly equivalent to having 2.57 equally abundant species.

    +

    References Simpson, E. H. (1949). Measurement of diversity. Nature, 163(4148), 688.

    +
    +
    +
    +
    + + +
    + + +
    + +
    +

    +

    Site built with pkgdown 2.1.0.

    +
    + +
    +
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padding: 35px 0 36px; + border-top: 1px solid #e5e5e5; + color: #666; + display: flex; + flex-shrink: 0; +} +footer p { + margin-bottom: 0; +} +footer div { + flex: 1; +} +footer .pkgdown { + text-align: right; +} +footer p { + margin-bottom: 0; +} + +img.icon { + float: right; +} + +/* Ensure in-page images don't run outside their container */ +.contents img { + max-width: 100%; + height: auto; +} + +/* Fix bug in bootstrap (only seen in firefox) */ +summary { + display: list-item; +} + +/* Typographic tweaking ---------------------------------*/ + +.contents .page-header { + margin-top: calc(-60px + 1em); +} + +dd { + margin-left: 3em; +} + +/* Section anchors ---------------------------------*/ + +a.anchor { + display: none; + margin-left: 5px; + width: 20px; + height: 20px; + + background-image: url(./link.svg); + background-repeat: no-repeat; + background-size: 20px 20px; + background-position: center center; +} + +h1:hover .anchor, +h2:hover .anchor, +h3:hover .anchor, +h4:hover .anchor, +h5:hover .anchor, +h6:hover .anchor { + display: inline-block; +} + +/* Fixes for fixed navbar --------------------------*/ + +.contents h1, .contents h2, .contents h3, .contents h4 { + padding-top: 60px; + margin-top: -40px; +} + +/* Navbar submenu --------------------------*/ + +.dropdown-submenu { + position: relative; +} + +.dropdown-submenu>.dropdown-menu { + top: 0; + left: 100%; + margin-top: -6px; + margin-left: -1px; + border-radius: 0 6px 6px 6px; +} + +.dropdown-submenu:hover>.dropdown-menu { + display: block; +} + +.dropdown-submenu>a:after { + display: block; + content: " "; + float: right; + width: 0; + height: 0; + border-color: transparent; + border-style: solid; + border-width: 5px 0 5px 5px; + border-left-color: #cccccc; + margin-top: 5px; + margin-right: -10px; +} + +.dropdown-submenu:hover>a:after { + border-left-color: #ffffff; +} + +.dropdown-submenu.pull-left { + float: none; +} + +.dropdown-submenu.pull-left>.dropdown-menu { + left: -100%; + margin-left: 10px; + border-radius: 6px 0 6px 6px; +} + +/* Sidebar --------------------------*/ + +#pkgdown-sidebar { + margin-top: 30px; + position: -webkit-sticky; + position: sticky; + top: 70px; +} + +#pkgdown-sidebar h2 { + font-size: 1.5em; + margin-top: 1em; +} + +#pkgdown-sidebar h2:first-child { + margin-top: 0; +} + +#pkgdown-sidebar .list-unstyled li { + margin-bottom: 0.5em; +} + +/* bootstrap-toc tweaks ------------------------------------------------------*/ + +/* All levels of nav */ + +nav[data-toggle='toc'] .nav > li > a { + padding: 4px 20px 4px 6px; + font-size: 1.5rem; + font-weight: 400; + color: inherit; +} + +nav[data-toggle='toc'] .nav > li > a:hover, +nav[data-toggle='toc'] .nav > li > a:focus { + padding-left: 5px; + color: inherit; + border-left: 1px solid #878787; +} + +nav[data-toggle='toc'] .nav > .active > a, +nav[data-toggle='toc'] .nav > .active:hover > a, +nav[data-toggle='toc'] .nav > .active:focus > a { + padding-left: 5px; + font-size: 1.5rem; + font-weight: 400; + color: inherit; + border-left: 2px solid #878787; +} + +/* Nav: second level (shown on .active) */ + +nav[data-toggle='toc'] .nav .nav { + display: none; /* Hide by default, but at >768px, show it */ + padding-bottom: 10px; +} + +nav[data-toggle='toc'] .nav .nav > li > a { + padding-left: 16px; + font-size: 1.35rem; +} + +nav[data-toggle='toc'] .nav .nav > li > a:hover, +nav[data-toggle='toc'] .nav .nav > li > a:focus { + padding-left: 15px; +} + +nav[data-toggle='toc'] .nav .nav > .active > a, +nav[data-toggle='toc'] .nav .nav > .active:hover > a, +nav[data-toggle='toc'] .nav .nav > .active:focus > a { + padding-left: 15px; + font-weight: 500; + font-size: 1.35rem; +} + +/* orcid ------------------------------------------------------------------- */ + +.orcid { + font-size: 16px; + color: #A6CE39; + /* margins are required by official ORCID trademark and display guidelines */ + margin-left:4px; + margin-right:4px; + vertical-align: middle; +} + +/* Reference index & topics ----------------------------------------------- */ + +.ref-index th {font-weight: normal;} + +.ref-index td {vertical-align: top; min-width: 100px} +.ref-index .icon {width: 40px;} +.ref-index .alias {width: 40%;} +.ref-index-icons .alias {width: calc(40% - 40px);} +.ref-index .title {width: 60%;} + +.ref-arguments th {text-align: right; padding-right: 10px;} +.ref-arguments th, .ref-arguments td {vertical-align: top; min-width: 100px} +.ref-arguments .name {width: 20%;} +.ref-arguments .desc {width: 80%;} + +/* Nice scrolling for wide elements --------------------------------------- */ + +table { + display: block; + overflow: auto; +} + +/* Syntax highlighting ---------------------------------------------------- */ + +pre, code, pre code { + background-color: #f8f8f8; + color: #333; +} +pre, pre code { + white-space: pre-wrap; + word-break: break-all; + overflow-wrap: break-word; +} + +pre { + border: 1px solid #eee; +} + +pre .img, pre .r-plt { + margin: 5px 0; +} + +pre .img img, pre .r-plt img { + background-color: #fff; +} + +code a, pre a { + color: #375f84; +} + +a.sourceLine:hover { + text-decoration: none; +} + +.fl {color: #1514b5;} +.fu {color: #000000;} /* function */ +.ch,.st {color: #036a07;} /* string */ +.kw {color: #264D66;} /* keyword */ +.co {color: #888888;} /* comment */ + +.error {font-weight: bolder;} +.warning {font-weight: bolder;} + +/* Clipboard --------------------------*/ + +.hasCopyButton { + position: relative; +} + +.btn-copy-ex { + position: absolute; + right: 0; + top: 0; + visibility: hidden; +} + +.hasCopyButton:hover button.btn-copy-ex { + visibility: visible; +} + +/* headroom.js ------------------------ */ + +.headroom { + will-change: transform; + transition: transform 200ms linear; +} +.headroom--pinned { + transform: translateY(0%); +} +.headroom--unpinned { + transform: translateY(-100%); +} + +/* mark.js ----------------------------*/ + +mark { + background-color: rgba(255, 255, 51, 0.5); + border-bottom: 2px solid rgba(255, 153, 51, 0.3); + padding: 1px; +} + +/* vertical spacing after htmlwidgets */ +.html-widget { + margin-bottom: 10px; +} + +/* fontawesome ------------------------ */ + +.fab { + font-family: "Font Awesome 5 Brands" !important; +} + +/* don't display links in code chunks when printing */ +/* source: https://stackoverflow.com/a/10781533 */ +@media print { + code a:link:after, code a:visited:after { + content: ""; + } +} + +/* Section anchors --------------------------------- + Added in pandoc 2.11: https://github.com/jgm/pandoc-templates/commit/9904bf71 +*/ + +div.csl-bib-body { } +div.csl-entry { + clear: both; +} +.hanging-indent div.csl-entry { + margin-left:2em; + text-indent:-2em; +} +div.csl-left-margin { + min-width:2em; + float:left; +} +div.csl-right-inline { + margin-left:2em; + padding-left:1em; +} +div.csl-indent { + margin-left: 2em; +} diff --git a/docs/pkgdown.js b/docs/pkgdown.js new file mode 100644 index 0000000..6f0eee4 --- /dev/null +++ b/docs/pkgdown.js @@ -0,0 +1,108 @@ +/* http://gregfranko.com/blog/jquery-best-practices/ */ +(function($) { + $(function() { + + $('.navbar-fixed-top').headroom(); + + $('body').css('padding-top', $('.navbar').height() + 10); + $(window).resize(function(){ + $('body').css('padding-top', $('.navbar').height() + 10); + }); + + $('[data-toggle="tooltip"]').tooltip(); + + var cur_path = paths(location.pathname); + var links = $("#navbar ul li a"); + var max_length = -1; + var pos = -1; + for (var i = 0; i < links.length; i++) { + if (links[i].getAttribute("href") === "#") + continue; + // Ignore external links + if (links[i].host !== location.host) + continue; + + var nav_path = paths(links[i].pathname); + + var length = prefix_length(nav_path, cur_path); + if (length > max_length) { + max_length = length; + pos = i; + } + } + + // Add class to parent
  • , and enclosing
  • if in dropdown + if (pos >= 0) { + var menu_anchor = $(links[pos]); + menu_anchor.parent().addClass("active"); + menu_anchor.closest("li.dropdown").addClass("active"); + } + }); + + function paths(pathname) { + var pieces = pathname.split("/"); + pieces.shift(); // always starts with / + + var end = pieces[pieces.length - 1]; + if (end === "index.html" || end === "") + pieces.pop(); + return(pieces); + } + + // Returns -1 if not found + function prefix_length(needle, haystack) { + if (needle.length > haystack.length) + return(-1); + + // Special case for length-0 haystack, since for loop won't run + if (haystack.length === 0) { + return(needle.length === 0 ? 0 : -1); + } + + for (var i = 0; i < haystack.length; i++) { + if (needle[i] != haystack[i]) + return(i); + } + + return(haystack.length); + } + + /* Clipboard --------------------------*/ + + function changeTooltipMessage(element, msg) { + var tooltipOriginalTitle=element.getAttribute('data-original-title'); + element.setAttribute('data-original-title', msg); + $(element).tooltip('show'); + element.setAttribute('data-original-title', tooltipOriginalTitle); + } + + if(ClipboardJS.isSupported()) { + $(document).ready(function() { + var copyButton = ""; + + $("div.sourceCode").addClass("hasCopyButton"); + + // Insert copy buttons: + $(copyButton).prependTo(".hasCopyButton"); + + // Initialize tooltips: + $('.btn-copy-ex').tooltip({container: 'body'}); + + // Initialize clipboard: + var clipboardBtnCopies = new ClipboardJS('[data-clipboard-copy]', { + text: function(trigger) { + return trigger.parentNode.textContent.replace(/\n#>[^\n]*/g, ""); + } + }); + + clipboardBtnCopies.on('success', function(e) { + changeTooltipMessage(e.trigger, 'Copied!'); + e.clearSelection(); + }); + + clipboardBtnCopies.on('error', function() { + changeTooltipMessage(e.trigger,'Press Ctrl+C or Command+C to copy'); + }); + }); + } +})(window.jQuery || window.$) diff --git a/docs/pkgdown.yml b/docs/pkgdown.yml new file mode 100644 index 0000000..8d2ec6b --- /dev/null +++ b/docs/pkgdown.yml @@ -0,0 +1,5 @@ +pandoc: '3.2' +pkgdown: 2.1.0 +pkgdown_sha: ~ +articles: {} +last_built: 2024-12-06T00:03Z diff --git a/docs/reference/Rplot001.png b/docs/reference/Rplot001.png new file mode 100644 index 0000000000000000000000000000000000000000..17a358060aed2a86950757bbd25c6f92c08c458f GIT binary patch literal 1011 zcmeAS@N?(olHy`uVBq!ia0y~yV0-|=9Be?5+AI5}0x7m6Z+90U4Fo@(ch>_c&H|6f zVg?3oArNM~bhqvg0|WD9PZ!6KiaBo&GBN^{G%5UFpXcEKVvd5*5Eu=C0SJK)8A6*F U7`aXvEC5;V>FVdQ&MBb@00SN#Z2$lO literal 0 HcmV?d00001 diff --git a/docs/reference/afribats.html b/docs/reference/afribats.html new file mode 100644 index 0000000..4994071 --- /dev/null +++ b/docs/reference/afribats.html @@ -0,0 +1,131 @@ + +Bat records as tibble. Occurrence records of 266 bat species from 53 genera and 12 families (order Chiroptera, class Mammalia) from sub-Saharan Africa. — afribats • afribat + + +
    +
    + + + +
    +
    + + +
    +

    Bat records as tibble. + Occurrence records of 266 bat species from 53 genera and 12 families + (order Chiroptera, class Mammalia) from sub-Saharan Africa.

    +
    + +
    +
    afribats
    +
    + +
    +

    Format

    +

    A tibble with 17285 rows and 13 variables:

    family
    +

    a character denoting family of bat record

    + +
    genus
    +

    a character denoting genus of bat record

    + +
    species
    +

    a character denoting species of bat record

    + +
    museum
    +

    a character denoting museum accession number of bat record

    + +
    date
    +

    a date denoting date on which the bat was collected or otherwise recorded

    + +
    year
    +

    an integer denoting body mass (grams)

    + +
    country
    +

    a character denoting country in which the bat was recorded

    + +
    location
    +

    a character denoting name of the location or locality that the bat was recorded

    + +
    latitude
    +

    a double denoting latitude in decimal degrees (EPSG:4326) of the record

    + +
    longitude
    +

    a double denoting longitude in decimal degrees (EPSG:4326) of the record

    + +
    reference
    +

    a character denoting source of the record, mostly papers

    + +
    holotype
    +

    a character denoting whether the record is a type specimen

    + +
    checked
    +

    a character denoting whether the bat specimen was examined by the authors

    + + +
    +
    +

    Source

    +

    Originally published in: Monadjem, A., Montauban, C., Webala, P.W. et al. African bat database: curated data of occurrences, distributions and conservation metrics for sub-Saharan bats. Sci Data 11, 1309 (2024). https://doi.org/10.1038/s41597-024-04170-71

    +
    + +
    + +
    + + +
    + +
    +

    Site built with pkgdown 2.1.0.

    +
    + +
    + + + + + + + + diff --git a/docs/reference/afribats_sf.html b/docs/reference/afribats_sf.html new file mode 100644 index 0000000..a793174 --- /dev/null +++ b/docs/reference/afribats_sf.html @@ -0,0 +1,128 @@ + +Bat records as simple features. Occurrence records of 266 bat species from 53 genera and 12 families (order Chiroptera, class Mammalia) from sub-Saharan Africa. — afribats_sf • afribat + + +
    +
    + + + +
    +
    + + +
    +

    Bat records as simple features. + Occurrence records of 266 bat species from 53 genera and 12 families + (order Chiroptera, class Mammalia) from sub-Saharan Africa.

    +
    + +
    +
    afribats_sf
    +
    + +
    +

    Format

    +

    A tibble with 17255 rows and 12 variables:

    family
    +

    a character denoting family of bat record

    + +
    genus
    +

    a character denoting genus of bat record

    + +
    species
    +

    a character denoting species of bat record

    + +
    museum
    +

    a character denoting museum accession number of bat record

    + +
    date
    +

    a date denoting date on which the bat was collected or otherwise recorded

    + +
    year
    +

    an integer denoting body mass (grams)

    + +
    country
    +

    a character denoting country in which the bat was recorded

    + +
    location
    +

    a character denoting name of the location or locality that the bat was recorded

    + +
    reference
    +

    a character denoting source of the record, mostly papers

    + +
    holotype
    +

    a character denoting whether the record is a type specimen

    + +
    checked
    +

    a character denoting whether the bat specimen was examined by the authors

    + +
    geometry
    +

    the geometry list column, crs is EPSG:4326

    + + +
    +
    +

    Source

    +

    Originally published in: Monadjem, A., Montauban, C., Webala, P.W. et al. African bat database: curated data of occurrences, distributions and conservation metrics for sub-Saharan bats. Sci Data 11, 1309 (2024). https://doi.org/10.1038/s41597-024-04170-71

    +
    + +
    + +
    + + +
    + +
    +

    Site built with pkgdown 2.1.0.

    +
    + +
    + + + + + + + + diff --git a/docs/reference/evenness.html b/docs/reference/evenness.html new file mode 100644 index 0000000..a821bb5 --- /dev/null +++ b/docs/reference/evenness.html @@ -0,0 +1,121 @@ + +Calculate Evenness Index — evenness • afribat + + +
    +
    + + + +
    +
    + + +
    +

    This function calculates the species evenness, which is a measure of how evenly individuals +are distributed among the different species in a community. It is based on the Shannon-Weiner diversity index.

    +
    + +
    +
    evenness(x)
    +
    + +
    +

    Arguments

    + + +
    x
    +

    A character vector of species names. Each element represents an individual of a species.

    + +
    +
    +

    Value

    +

    A numeric value representing the evenness index. Returns NA if the input vector is empty +or contains fewer than two unique species.

    +
    +
    +

    Note

    +

    Evenness is undefined for empty vectors or vectors with fewer than two unique species. +The function will return NA in such cases with a warning.

    +
    +
    +

    See also

    +

    shannon_weiner for the Shannon-Weiner diversity index.

    +
    + +
    +

    Examples

    +
    # Example 1: Calculate evenness for a dataset
    +x <- c("jonesi","gambiensis","hispida","hispida","thebaica","helvum","helvum","gambianus","gambianus","pusillus","monstrosus","aegyptiacus")
    +evenness(x)
    +#> [1] 0.9731973
    +
    +# Example 2: Handle edge cases
    +evenness(c("thebaica")) # Returns NA with a warning
    +#> Warning: Evenness is undefined for fewer than 2 species. Returning NA.
    +#> [1] NA
    +evenness(character(0)) # Returns NA with a warning
    +#> Warning: Input vector is empty. Returning NA.
    +#> [1] NA
    +
    +
    +
    +
    + +
    + + +
    + +
    +

    Site built with pkgdown 2.1.0.

    +
    + +
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zc-HpZrSqqB0ARS8-BD#rKiM9wG0^OpN5(s;Y`q_CkJbP%_dd{USe31IYm)>HVD3w{ zv(SbEnESW3CbZ!IrWe-6j%$N9J-lYs3u~(?TTKA-%mK_jJ#ElN;sECEt?dBXZ~)Ug zYn#7w0MkQj}R literal 0 HcmV?d00001 diff --git a/docs/reference/index.html b/docs/reference/index.html new file mode 100644 index 0000000..5ea0b00 --- /dev/null +++ b/docs/reference/index.html @@ -0,0 +1,102 @@ + +Package index • afribat + + + + + + + + + + + diff --git a/docs/reference/margalef.html b/docs/reference/margalef.html new file mode 100644 index 0000000..d0b343b --- /dev/null +++ b/docs/reference/margalef.html @@ -0,0 +1,139 @@ + +Calculate Margalef's Diversity Index — margalef • afribat + + +
    +
    + + + +
    +
    + + +
    +

    This function calculates Margalef's diversity index, a measure of species richness +relative to the total number of individuals, using species names.

    +
    + +
    +
    margalef(x, details = FALSE)
    +
    + +
    +

    Source

    +

    Margalef, R. (1958) Information Theory in Ecology. General Systems, 3, 36-71.

    +
    +
    +

    Arguments

    + + +
    x
    +

    A character vector of species names. Each element represents an individual of a species.

    + + +
    details
    +

    Logical. If `TRUE`, the function returns a list containing the +Margalef index, the number of unique species (S), and the total number of individuals (N). +Defaults to FALSE.

    + +
    +
    +

    Value

    +

    If return_details = FALSE (default), a numeric value representing Margalef's diversity index. +If return_details = TRUE, a list with the following components:

    • Margalef_Index: The calculated Margalef index.

    • +
    • S: The number of unique species.

    • +
    • N: The total number of individuals.

    • +

    Returns NA if the index is undefined (e.g., fewer than two species or individuals).

    +
    +
    +

    Note

    +

    Margalef's index is undefined if there is only one species or individual. +The function will return NA in such cases with a warning.

    +
    + +
    +

    Examples

    +
    # Example 1: Calculate Margalef's index for a simple dataset
    + x <- c("jonesi","gambiensis","hispida","hispida","thebaica","helvum","helvum","gambianus","gambianus","pusillus","monstrosus","aegyptiacus")
    +margalef(x) # Simple output
    +#> [1] 3.219437
    +
    +# Example 2: Return detailed results
    +margalef(x, details = TRUE)
    +#> $margalef_index
    +#> [1] 3.219437
    +#> 
    +#> $S
    +#> [1] 9
    +#> 
    +#> $N
    +#> [1] 12
    +#> 
    +
    +# Example 3: Handle edge cases
    +margalef(c("gambiensis")) # Returns NA with a warning
    +#> Warning: Margalef index is undefined for fewer than 2 species or individuals
    +#> [1] NA
    +
    +
    +
    +
    + +
    + + +
    + +
    +

    Site built with pkgdown 2.1.0.

    +
    + +
    + + + + + + + + diff --git a/docs/reference/path_to_file.html b/docs/reference/path_to_file.html new file mode 100644 index 0000000..7f32ebb --- /dev/null +++ b/docs/reference/path_to_file.html @@ -0,0 +1,149 @@ + +Get file path to `afribats.csv` and `afribats_sf.gpkg` files — path_to_file • afribat + + +
    +
    + + + +
    +
    + + +
    +

    afribat comes bundled with one csv and one gpkg file in its `inst/extdata` +directory. This function make them easy to access.

    +
    + +
    +
    path_to_file(path = NULL)
    +
    + +
    +

    Source

    +

    This function is adapted from `readxl::readxl_example()`.

    +
    +
    +

    Arguments

    + + +
    path
    +

    Name of file in quotes with extension; +`"afribats.csv"` and `"afribats_sf.gpkg"` will work. +If `NULL`, the example files will be listed.

    + +
    +
    +

    Details

    +

    The data in each file is the almost the same. In gpkg file, all missing positions coordinates were removed.

    +
    + +
    +

    Examples

    +
    # load libraries
    +library(sf)
    +#> Linking to GEOS 3.11.0, GDAL 3.5.3, PROJ 9.1.0; sf_use_s2() is TRUE
    +library(readr)
    +
    +path_to_file("afribats.csv")
    +#> [1] "/private/var/folders/1v/rxqdlk0j0dd4_3wp4tjcbxjm0000gn/T/Rtmp7NNSup/temp_libpath66f68688e7c/afribat/extdata/afribats.csv"
    +head(read_csv(path_to_file("afribats.csv")))
    +#> Rows: 17285 Columns: 13
    +#> ── Column specification ────────────────────────────────────────────────────────
    +#> Delimiter: ","
    +#> chr  (9): family, genus, species, museum, country, location, reference, holo...
    +#> dbl  (3): year, latitude, longitude
    +#> date (1): date
    +#> 
    +#> ℹ Use `spec()` to retrieve the full column specification for this data.
    +#> ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message.
    +#> # A tibble: 6 × 13
    +#>   family     genus   species  museum  date        year country location latitude
    +#>   <chr>      <chr>   <chr>    <chr>   <date>     <dbl> <chr>   <chr>       <dbl>
    +#> 1 Cistugidae Cistugo lesueuri TM2286  1917-09-15  1917 South … Fransch…    -33.7
    +#> 2 Cistugidae Cistugo lesueuri KM2025  1933-06-01  1933 South … Bedford…    -32.9
    +#> 3 Cistugidae Cistugo lesueuri KM2031  1933-10-01  1933 South … Bedford…    -32.9
    +#> 4 Cistugidae Cistugo lesueuri TM29310 1978-07-12  1978 South … Saasvel…    -34.0
    +#> 5 Cistugidae Cistugo lesueuri TM29511 1979-01-22  1979 South … Karoo NP    -32.3
    +#> 6 Cistugidae Cistugo lesueuri KM24805 1979-02-03  1979 Lesotho Sehlaba…    -29.9
    +#> # ℹ 4 more variables: longitude <dbl>, reference <chr>, holotype <chr>,
    +#> #   checked <chr>
    +head(read_sf(path_to_file("afribats_sf.gpkg")))
    +#> Simple feature collection with 6 features and 11 fields
    +#> Geometry type: POINT
    +#> Dimension:     XY
    +#> Bounding box:  xmin: 18.97 ymin: -33.97 xmax: 29.08 ymax: -29.87
    +#> Geodetic CRS:  WGS 84
    +#> # A tibble: 6 × 12
    +#>   family     genus   species  museum date        year country location reference
    +#>   <chr>      <chr>   <chr>    <chr>  <date>     <dbl> <chr>   <chr>    <chr>    
    +#> 1 Cistugidae Cistugo lesueuri TM2286 1917-09-15  1917 South … Fransch… Van Cake…
    +#> 2 Cistugidae Cistugo lesueuri KM2025 1933-06-01  1933 South … Bedford… Monadjem…
    +#> 3 Cistugidae Cistugo lesueuri KM2031 1933-10-01  1933 South … Bedford… Monadjem…
    +#> 4 Cistugidae Cistugo lesueuri TM293… 1978-07-12  1978 South … Saasvel… Monadjem…
    +#> 5 Cistugidae Cistugo lesueuri TM295… 1979-01-22  1979 South … Karoo NP Monadjem…
    +#> 6 Cistugidae Cistugo lesueuri KM248… 1979-02-03  1979 Lesotho Sehlaba… Monadjem…
    +#> # ℹ 3 more variables: holotype <chr>, checked <chr>, geom <POINT [°]>
    +
    +
    +
    +
    + +
    + + +
    + +
    +

    Site built with pkgdown 2.1.0.

    +
    + +
    + + + + + + + + diff --git a/docs/reference/shannon_weiner.html b/docs/reference/shannon_weiner.html new file mode 100644 index 0000000..2af0253 --- /dev/null +++ b/docs/reference/shannon_weiner.html @@ -0,0 +1,116 @@ + +Calculate Shannon-Weiner Diversity Index — shannon_weiner • afribat + + +
    +
    + + + +
    +
    + + +
    +

    This function calculates the Shannon-Weiner diversity index, a measure of species diversity +based on species relative abundance.

    +
    + +
    +
    shannon_weiner(x)
    +
    + +
    +

    Arguments

    + + +
    x
    +

    A character vector of species names. Each element represents an individual of a species.

    + +
    +
    +

    Value

    +

    A numeric value representing the Shannon-Weiner diversity index. Returns NA if the input +vector is empty or contains fewer than two unique species.

    +
    +
    +

    Note

    +

    The Shannon-Weiner index is undefined for an empty vector or vectors with only one unique species. +For such cases, the function will return NA or 0 as appropriate.

    +
    + +
    +

    Examples

    +
    # Example 1: Calculate Shannon-Weiner index for a dataset
    +x <- c("jonesi","gambiensis","hispida","hispida","thebaica","helvum","helvum","gambianus","gambianus","pusillus","monstrosus","aegyptiacus")
    +shannon_weiner(x)
    +#> [1] 2.138333
    +
    +# Example 2: Handle edge cases
    +shannon_weiner(c("jonesi")) # Returns 0
    +#> [1] 0
    +shannon_weiner(character(0)) # Returns NA with a warning
    +#> Warning: Input vector is empty. Returning NA.
    +#> [1] NA
    +
    +
    +
    +
    + +
    + + +
    + +
    +

    Site built with pkgdown 2.1.0.

    +
    + +
    + + + + + + + + diff --git a/docs/reference/simpson.html b/docs/reference/simpson.html new file mode 100644 index 0000000..9f39752 --- /dev/null +++ b/docs/reference/simpson.html @@ -0,0 +1,117 @@ + +Calculate Simpson's Diversity Index — simpson • afribat + + +
    +
    + + + +
    +
    + + +
    +

    This function calculates Simpson's diversity index, which measures the probability +that two individuals randomly selected from a sample will belong to different species.

    +
    + +
    +
    simpson(x)
    +
    + +
    +

    Arguments

    + + +
    x
    +

    A character vector of species names. Each element represents an individual of a species.

    + +
    +
    +

    Value

    +

    A numeric value representing Simpson's diversity index. Returns NA if the input vector +is empty or contains fewer than two unique species.

    +
    +
    +

    Note

    +

    Simpson's index is undefined for an empty vector or vectors with only one unique species. +The function will return NA in such cases with a warning.

    +
    + +
    +

    Examples

    +
    # Example 1: Calculate Simpson's diversity index
    +x <- c("jonesi","gambiensis","hispida","hispida","thebaica","helvum","helvum","gambianus","gambianus","pusillus","monstrosus","aegyptiacus")
    +simpson(x)
    +#> [1] 8
    +
    +# Example 2: Handle edge cases
    +simpson(c("pusillus")) # Returns NA with a warning
    +#> Warning: Simpson's index is undefined for fewer than 2 species. Returning NA.
    +#> [1] NA
    +simpson(character(0)) # Returns NA with a warning
    +#> Warning: Input vector is empty. Returning NA.
    +#> [1] NA
    +
    +
    +
    +
    + +
    + + +
    + +
    +

    Site built with pkgdown 2.1.0.

    +
    + +
    + + + + + + + + diff --git a/docs/site.webmanifest b/docs/site.webmanifest new file mode 100644 index 0000000..4ebda26 --- /dev/null +++ b/docs/site.webmanifest @@ -0,0 +1,21 @@ +{ + "name": "", + "short_name": "", + "icons": [ + { + "src": "/web-app-manifest-192x192.png", + "sizes": "192x192", + "type": "image/png", + "purpose": "maskable" + }, + { + "src": "/web-app-manifest-512x512.png", + "sizes": "512x512", + "type": "image/png", + "purpose": "maskable" + } + ], + "theme_color": "#ffffff", + "background_color": "#ffffff", + "display": "standalone" +} \ No newline at end of file diff --git a/docs/sitemap.xml b/docs/sitemap.xml new file mode 100644 index 0000000..9c30ab8 --- /dev/null +++ b/docs/sitemap.xml @@ -0,0 +1,16 @@ + +/404.html +/LICENSE-text.html +/LICENSE.html +/authors.html +/index.html +/reference/afribats.html +/reference/afribats_sf.html +/reference/evenness.html +/reference/index.html +/reference/margalef.html +/reference/path_to_file.html 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z-wH9-{;|pPc--Be#~V#ZgTJRAMCdv=eMzL>x`hxkzmoVyKRA0NWOSq-o@Mv5vH=IS z@puUN{J8pZxc)iLcAw)+HwceF22C^XYj|7mc*8r=;Pc!@=tytON_$(g(s}_Nmlx{CVYlP3 z+i)EB;ns0)nBZ~Ysd^vbY&J;vJ(9u-qSpY$7+Lc|7XxmQ4=4pAHeZCfa5g~$7`T< Pyvj%McCgy}zpwuv%7gWt literal 0 HcmV?d00001 diff --git a/man/afribats.Rd b/man/afribats.Rd new file mode 100644 index 0000000..8908bdc --- /dev/null +++ b/man/afribats.Rd @@ -0,0 +1,38 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/afribat.R +\docType{data} +\name{afribats} +\alias{afribats} +\title{Bat records as tibble. + Occurrence records of 266 bat species from 53 genera and 12 families + (order Chiroptera, class Mammalia) from sub-Saharan Africa.} +\format{ +A tibble with 17285 rows and 13 variables: +\describe{ + \item{family}{a character denoting family of bat record } + \item{genus}{a character denoting genus of bat record} + \item{species}{a character denoting species of bat record} + \item{museum}{ a character denoting museum accession number of bat record} + \item{date}{a date denoting date on which the bat was collected or otherwise recorded} + \item{year}{an integer denoting body mass (grams)} + \item{country}{a character denoting country in which the bat was recorded} + \item{location}{a character denoting name of the location or locality that the bat was recorded} + \item{latitude}{ a double denoting latitude in decimal degrees (EPSG:4326) of the record} + \item{longitude}{a double denoting longitude in decimal degrees (EPSG:4326) of the record} + \item{reference}{a character denoting source of the record, mostly papers} + \item{holotype}{a character denoting whether the record is a type specimen} + \item{checked}{a character denoting whether the bat specimen was examined by the authors} +} +} +\source{ +{Originally published in: Monadjem, A., Montauban, C., Webala, P.W. et al. African bat database: curated data of occurrences, distributions and conservation metrics for sub-Saharan bats. Sci Data 11, 1309 (2024). https://doi.org/10.1038/s41597-024-04170-71} +} +\usage{ +afribats +} +\description{ +Bat records as tibble. + Occurrence records of 266 bat species from 53 genera and 12 families + (order Chiroptera, class Mammalia) from sub-Saharan Africa. +} +\keyword{datasets} diff --git a/man/afribats_sf.Rd b/man/afribats_sf.Rd new file mode 100644 index 0000000..b7500cc --- /dev/null +++ b/man/afribats_sf.Rd @@ -0,0 +1,37 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/afribats_sf.R +\docType{data} +\name{afribats_sf} +\alias{afribats_sf} +\title{Bat records as simple features. + Occurrence records of 266 bat species from 53 genera and 12 families + (order Chiroptera, class Mammalia) from sub-Saharan Africa.} +\format{ +A tibble with 17255 rows and 12 variables: +\describe{ + \item{family}{a character denoting family of bat record } + \item{genus}{a character denoting genus of bat record} + \item{species}{a character denoting species of bat record} + \item{museum}{ a character denoting museum accession number of bat record} + \item{date}{a date denoting date on which the bat was collected or otherwise recorded} + \item{year}{an integer denoting body mass (grams)} + \item{country}{a character denoting country in which the bat was recorded} + \item{location}{a character denoting name of the location or locality that the bat was recorded} + \item{reference}{a character denoting source of the record, mostly papers} + \item{holotype}{a character denoting whether the record is a type specimen} + \item{checked}{a character denoting whether the bat specimen was examined by the authors} + \item{geometry}{ the geometry list column, crs is EPSG:4326} +} +} +\source{ +{Originally published in: Monadjem, A., Montauban, C., Webala, P.W. et al. African bat database: curated data of occurrences, distributions and conservation metrics for sub-Saharan bats. Sci Data 11, 1309 (2024). https://doi.org/10.1038/s41597-024-04170-71} +} +\usage{ +afribats_sf +} +\description{ +Bat records as simple features. + Occurrence records of 266 bat species from 53 genera and 12 families + (order Chiroptera, class Mammalia) from sub-Saharan Africa. +} +\keyword{datasets} diff --git a/man/evenness.Rd b/man/evenness.Rd new file mode 100644 index 0000000..b349077 --- /dev/null +++ b/man/evenness.Rd @@ -0,0 +1,36 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/diversity-indices.R +\name{evenness} +\alias{evenness} +\title{Calculate Evenness Index} +\usage{ +evenness(x) +} +\arguments{ +\item{x}{A character vector of species names. Each element represents an individual of a species.} +} +\value{ +A numeric value representing the evenness index. Returns \code{NA} if the input vector is empty +or contains fewer than two unique species. +} +\description{ +This function calculates the species evenness, which is a measure of how evenly individuals +are distributed among the different species in a community. It is based on the Shannon-Weiner diversity index. +} +\note{ +Evenness is undefined for empty vectors or vectors with fewer than two unique species. +The function will return \code{NA} in such cases with a warning. +} +\examples{ +# Example 1: Calculate evenness for a dataset +x <- c("jonesi","gambiensis","hispida","hispida","thebaica","helvum","helvum","gambianus","gambianus","pusillus","monstrosus","aegyptiacus") +evenness(x) + +# Example 2: Handle edge cases +evenness(c("thebaica")) # Returns NA with a warning +evenness(character(0)) # Returns NA with a warning + +} +\seealso{ +\code{\link{shannon_weiner}} for the Shannon-Weiner diversity index. +} diff --git a/man/figures/README-pressure-1.png b/man/figures/README-pressure-1.png new file mode 100644 index 0000000000000000000000000000000000000000..7bc4c8f7db547c559fb01ef2a8848679c60e06a8 GIT binary patch literal 22985 zcmeIabyQXD*EYII2^A282L(Y|N(BRu*dPcD?>Ya~*I5_n>cwiWWkk!;w^#UVdlrffn1Af^ 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100644 index 0000000..8b6229c --- /dev/null +++ b/man/margalef.Rd @@ -0,0 +1,48 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/diversity-indices.R +\name{margalef} +\alias{margalef} +\title{Calculate Margalef's Diversity Index} +\source{ +Margalef, R. (1958) Information Theory in Ecology. General Systems, 3, 36-71. +} +\usage{ +margalef(x, details = FALSE) +} +\arguments{ +\item{x}{A character vector of species names. Each element represents an individual of a species.} + +\item{details}{Logical. If `TRUE`, the function returns a list containing the +Margalef index, the number of unique species (\code{S}), and the total number of individuals (\code{N}). +Defaults to \code{FALSE}.} +} +\value{ +If \code{return_details = FALSE} (default), a numeric value representing Margalef's diversity index. +If \code{return_details = TRUE}, a list with the following components: +\itemize{ + \item \code{Margalef_Index}: The calculated Margalef index. + \item \code{S}: The number of unique species. + \item \code{N}: The total number of individuals. +} +Returns \code{NA} if the index is undefined (e.g., fewer than two species or individuals). +} +\description{ +This function calculates Margalef's diversity index, a measure of species richness +relative to the total number of individuals, using species names. +} +\note{ +Margalef's index is undefined if there is only one species or individual. +The function will return \code{NA} in such cases with a warning. +} +\examples{ +# Example 1: Calculate Margalef's index for a simple dataset + x <- c("jonesi","gambiensis","hispida","hispida","thebaica","helvum","helvum","gambianus","gambianus","pusillus","monstrosus","aegyptiacus") +margalef(x) # Simple output + +# Example 2: Return detailed results +margalef(x, details = TRUE) + +# Example 3: Handle edge cases +margalef(c("gambiensis")) # Returns NA with a warning + +} diff --git a/man/path_to_file.Rd b/man/path_to_file.Rd new file mode 100644 index 0000000..92f85d5 --- /dev/null +++ b/man/path_to_file.Rd @@ -0,0 +1,33 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/path-to-file.R +\name{path_to_file} +\alias{path_to_file} +\title{Get file path to `afribats.csv` and `afribats_sf.gpkg` files} +\source{ +This function is adapted from `readxl::readxl_example()`. +} +\usage{ +path_to_file(path = NULL) +} +\arguments{ +\item{path}{Name of file in quotes with extension; +`"afribats.csv"` and `"afribats_sf.gpkg"` will work. +If `NULL`, the example files will be listed.} +} +\description{ +afribat comes bundled with one csv and one gpkg file in its `inst/extdata` +directory. This function make them easy to access. +} +\details{ +The data in each file is the almost the same. In gpkg file, all missing positions coordinates were removed. +} +\examples{ +# load libraries +library(sf) +library(readr) + +path_to_file("afribats.csv") +head(read_csv(path_to_file("afribats.csv"))) +head(read_sf(path_to_file("afribats_sf.gpkg"))) + +} diff --git a/man/shannon_weiner.Rd b/man/shannon_weiner.Rd new file mode 100644 index 0000000..1a541f9 --- /dev/null +++ b/man/shannon_weiner.Rd @@ -0,0 +1,33 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/diversity-indices.R +\name{shannon_weiner} +\alias{shannon_weiner} +\title{Calculate Shannon-Weiner Diversity Index} +\usage{ +shannon_weiner(x) +} +\arguments{ +\item{x}{A character vector of species names. Each element represents an individual of a species.} +} +\value{ +A numeric value representing the Shannon-Weiner diversity index. Returns \code{NA} if the input +vector is empty or contains fewer than two unique species. +} +\description{ +This function calculates the Shannon-Weiner diversity index, a measure of species diversity +based on species relative abundance. +} +\note{ +The Shannon-Weiner index is undefined for an empty vector or vectors with only one unique species. +For such cases, the function will return \code{NA} or 0 as appropriate. +} +\examples{ +# Example 1: Calculate Shannon-Weiner index for a dataset +x <- c("jonesi","gambiensis","hispida","hispida","thebaica","helvum","helvum","gambianus","gambianus","pusillus","monstrosus","aegyptiacus") +shannon_weiner(x) + +# Example 2: Handle edge cases +shannon_weiner(c("jonesi")) # Returns 0 +shannon_weiner(character(0)) # Returns NA with a warning + +} diff --git a/man/simpson.Rd b/man/simpson.Rd new file mode 100644 index 0000000..cc683dd --- /dev/null +++ b/man/simpson.Rd @@ -0,0 +1,33 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/diversity-indices.R +\name{simpson} +\alias{simpson} +\title{Calculate Simpson's Diversity Index} +\usage{ +simpson(x) +} +\arguments{ +\item{x}{A character vector of species names. Each element represents an individual of a species.} +} +\value{ +A numeric value representing Simpson's diversity index. Returns \code{NA} if the input vector +is empty or contains fewer than two unique species. +} +\description{ +This function calculates Simpson's diversity index, which measures the probability +that two individuals randomly selected from a sample will belong to different species. +} +\note{ +Simpson's index is undefined for an empty vector or vectors with only one unique species. +The function will return \code{NA} in such cases with a warning. +} +\examples{ +# Example 1: Calculate Simpson's diversity index +x <- c("jonesi","gambiensis","hispida","hispida","thebaica","helvum","helvum","gambianus","gambianus","pusillus","monstrosus","aegyptiacus") +simpson(x) + +# Example 2: Handle edge cases +simpson(c("pusillus")) # Returns NA with a warning +simpson(character(0)) # Returns NA with a warning + +} diff --git a/pkgdown/favicon/apple-touch-icon.png b/pkgdown/favicon/apple-touch-icon.png new file mode 100644 index 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z@=DqE?Lm138ln*2FAqvm!6KQpS8$GT*4-#Lx|#Ft)k2H!1_UaiWZSr;TF5!rksucqWa;PM4`!es+nBG-g`Du2AQz5;^S7R%?)*do z)=s_~0jx(-$loBI+vH4O@#eIxrKR7yM#8`CFtdTlwC6YUOFT&k!OzDKgI5wx<4!ON zIO00tWct(hyOpIhDDAjp^9IM@3z9Yejxq)g3am5wh2vEtSsiqv#n$Z`O#<`#>_^j} zbgeWm9Ae*y__uRYp3kkH%$M#hp+ZOOJOcy}S?v((Iy z;8-Uv%REfZziq+m6VKex&n!zm@Ib8{IP}{Tpk?M5PDm!)k*)n-)H@Rdx`(hFfr-5l zo4)(^@9!HHA`|{?56VeCJXT&IfNK9C`wx2vt>%T>MLYGx t?3)&nQva

    +
    + + + +
    +
    + + + + + + + + + + + + + + + + + +
    +

    All functions

    +

    +
    +

    afribats

    +

    Bat records as tibble. Occurrence records of 266 bat species from 53 genera and 12 families (order Chiroptera, class Mammalia) from sub-Saharan Africa.

    +

    afribats_sf

    +

    Bat records as simple features. Occurrence records of 266 bat species from 53 genera and 12 families (order Chiroptera, class Mammalia) from sub-Saharan Africa.

    +

    evenness()

    +

    Calculate Evenness Index

    +

    margalef()

    +

    Calculate Margalef's Diversity Index

    +

    path_to_file()

    +

    Get file path to `afribats.csv` and `afribats_sf.gpkg` files

    +

    shannon_weiner()

    +

    Calculate Shannon-Weiner Diversity Index

    +

    simpson()

    +

    Calculate Simpson's Diversity Index

    + + +
    + + +
    + +
    +

    Site built with pkgdown 2.1.0.

    +
    + +
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zs=GlQNb>;A@yz%)p(u*dxhFWj&Nt%fv`a>WMjP4Hk^lA*1-(xOvB;}* z_jD)@z6wgUD_5Y?8erINoD${IbED0hBengm*|jkkn5TSLkip$vDpNy37D&m^{VlG4 zKkg(@QV+iO0pST7M!XV)X@~*>_P+H34WYE#QJIm`mpFat@AX@p^H5wr!-&X4M0idb ze1MfIsH$n7hwfi#dqL}<$}cRKdME;>_!>4gT9QHK%wi!eRH#=_X0??_gPBj$7Oj+$ zPpm{^io~4raUwaLZwYux@l^`)a|`qdoNW&o0x%1{mzWb7>C$S-lPWQE&sbZ5%F#tz zy1}dH(mgPE5G4H_r7E!E& zR+=?gz)sx@P*c(+OTP$=V&0R@S?!J`#ePjkeD88SNg t=J6SX4@d)>mD23qehR1y9BAalmTj@RvDHC0H@k2D7ji{7P>^S9deGbZ=Ia0e literal 0 HcmV?d00001 diff --git a/README.Rmd b/README.Rmd new file mode 100644 index 0000000..ea31a7f --- /dev/null +++ b/README.Rmd @@ -0,0 +1,264 @@ +--- +output: github_document + +--- + + +```{r, include = FALSE} +knitr::opts_chunk$set( + collapse = TRUE, + comment = "#>", + fig.path = "man/figures/README-", + out.width = "100%" +) + +``` + + +# afribat: African Bat Database in R + + + + + + + +The {afribat} R package provides access to the African Bat Database in the form of `tibble` (tabular) or `sf` (spatial) objects. +This package is designed to enhance reproducibility in ecological and evolutionary research by seamlessly integrating AfriBat data into the R programming ecosystem. +It serves as a valuable tool for researchers focusing on bat ecology, biodiversity, and conservation. + +## Background + +The African bat database is the first accessible dataset of occurrence records, distribution models and conservation metrics for all bat species in sub-Saharan Africa where all the records have been carefully examined and corrected for current taxonomy. +This database has been a long time in the making and will be crucial in resolving the distributions of poorly recorded bat taxa in sub-Saharan Africa. + +The database contains 17,285 unique locality records of all of the 266 species of bats currently recognized from sub-Saharan Africa (Fig. 2). +The number of species recognized in this region has increased by 60% in the last 100 years, and 17% since 2000. +In recent years, the increase in species numbers was primarily due to new species being discovered (both de novo descriptions and epithet splits) in the families Vespertilionidae, Rhinolophidae, Pteropodidae and Miniopteridae. + +The database is intended to be a dynamic, living dataset that will be updated regularly, at least once a year, or as new data becomes available, and errors are identified and corrected. +Future updates will welcome new or previously unavailable data, will incorporate taxonomic classification changes, and will include the distribution of newly resolved and described species. +Updates of the dataset will be made directly on Github () + +## Installation + +You can install the development version of afribat from [GitHub](https://github.com/) with: + +``` r +# install.packages("pak") +pak::pak("oousmane/afribat") +``` + +**Note**: Two important dependencies of {afribat}, the {sf} package for spatial data science and the {readr} package for tabular data read in and write out , require some low-level software libraries to be installed on your system. +Depending on which operating system you use, this can mean that you have to install these system requirements first, before you can install {afribat}. +See the installation guides of sf and readr or details. +To use effectively the data package, consider to install the entire tidyverse ecosystem. + +If you want to install {sf} and readr or tydiverse + +```{r eval=FALSE} +# install sf and readr only + install.packages( + c( + "sf", + "readr" + ) + ) +# install sf and tidyverse, readr is actually included in tidyverse (a bit long ) + install.packages( + c( + "sf", + "tidyverse" + ) + ) + +``` + +## Retrieving data using administrative units + +This package serves as a comprehensive data resource, bundling the entire database and making it readily available as tibble or sf objects for advanced analysis. +Designed to integrate seamlessly into workflows within the R programming environment, it provides a streamlined approach to data handling and spatial analysis. + +The example below demonstrates how to load the spatial version of the database and extract information for a specific administrative level—such as `admin1` ie 'Burkina Faso', highlighting the package's flexibility and ease of use. +This is for learning purpose. +Some considerations are neglicted. + +```{r } +library(sf) +library(afribat) + + +# Load data +data("afribats_sf", package = "afribat") + +# Load Burkina Faso boundary +bf <- read_sf("https://github.com/oousmane/hexburdb/raw/main/map/admin0.gpkg") + +# Spatial filtering and year filtering +bats80 <- st_filter(afribats_sf, bf, .predicate = st_within) |> + dplyr::filter(year == 1980) + +# Check if results are empty +if (nrow(bats80) == 0) { + stop("No data found for the specified criteria (year 1980)") +} + +# Extract species names +species <- bats80 |> + st_drop_geometry() |> + dplyr::pull("species") |> + as.character() + +# Check species +if (length(species) == 0) { + stop("No species data found for the filtered dataset") +} + +# Example usage of margalef index +margalef(species) + +``` + +## Biodiversity indices + +{afribat} provides a set of functions to compute common ecological diversity indices. +Each index includes its formula, conceptual explanation, and an example. +References are provided for further reading. + +### Margalef diversity index + +The Margalef index measures species richness adjusted for sample size. +It emphasizes the number of species ($S$) relative to the total number of individuals ($N$). +The formula is given by : + +$$ +D_M = \frac{S - 1}{\log(N)} +$$ where : + +- $S$: Number of unique species\ +- $N$: Total number of individuals in the sample + +The Margalef index provides a measure of species richness while accounting for the size of the sample. +Larger samples are expected to have more species. + +For further reading see : Margalef, R. +(1958). +Information theory in ecology. +General Systems, 3, 36–71. + +```{r} +library(afribat) +margalef(species) +``` + +### Shannon-Weiner Index + +The Shannon-Weiner index measures the diversity of a community by considering both the richness and evenness of species. +It is derived from information theory and quantifies the uncertainty (entropy) in predicting the species of an individual randomly selected from the sample. +The formula is given by + +### Formula + +$$ +H = -\sum_{i=1}^{S} p_i \log(p_i) +$$ + +Where: + +- $H$: Shannon-Weiner index (diversity) + +- $p_i$: Proportion of individuals belonging to species $i$ ($p_i = \frac{n_i}{N}$) + +- $n_i$: Number of individuals in species $i$ + +- $N$: Total number of individuals in the community + +- $S$: Total number of unique species + +The Shannon-Weiner index provides a measure of biodiversity. +A higher $H'$ value indicates a more diverse and evenly distributed community. + +**Example Calculation** + +Given the following dataset: + +| Species | Count | +|---------|-------| +| Oak | 3 | +| Pine | 2 | +| Maple | 1 | + +- Total individuals ($N$) = 3 + 2 + 1 = 6 +- Proportions ($p_i$): + - $p_{\text{Oak}} = \frac{3}{6} = 0.5$ + - $p_{\text{Pine}} = \frac{2}{6} = 0.333$ + - $p_{\text{Maple}} = \frac{1}{6} = 0.167$ + +$$ +H = -(0.5 \log(0.5) + 0.333 \log(0.333) + 0.167 \log(0.167)) +$$ +$$ +H = 1.011 +$$ + +```{r} +shannon_weiner(species) +``` + +**Interpretation** + +- **High** $H$: Indicates a diverse community with even distribution of species. + +- **Low** $H$ : Suggests dominance by a few species or low species richness. + +For further reading, see : Shannon, C. E., & Weaver, W. +(1949).  +*The Mathematical Theory of Communication*. +Urbana, IL: University of Illinois Press. + +### Simpson's Dominance Index + +The Inverse Simpson's Index is another diversity measure related to Simpson's Dominance Index. Instead of quantifying the probability that two randomly selected individuals belong to the same species, it focuses on the effective number of equally abundant species. The formula for Simpson's index computation is given by : + +$$ +D = \frac{1}{\sum_{i=1}^{S} p_i^2} +$$ + +Where: +- $D$: Simpson's Dominance Index (inverse) +- $p_i$: Proportion of individuals belonging to species $i$ $p_i = \frac{n_i}{N}$ +- $n_i$: Number of individuals in species $i$ +- $N$: Total number of individuals in the community +- $S$: Total number of unique + +The Inverse Simpson's Index can be interpreted as the number of equally abundant species necessary to produce the given community diversity. A higher value indicates greater diversity, as it suggests you would need more equally abundant species to achieve the observed distribution. + +**Example Calculation** + +Given the following dataset: + +| Species | Count | +|---------|-------| +| Oak | 3 | +| Pine | 2 | +| Maple | 1 | + +- Total individuals ($N$)) = $3 + 2 + 1 = 6$ +- Proportions ($p_i$): + - $p_{\text{Oak}} = \frac{3}{6} = 0.5$ + - $p_{\text{Pine}} = \frac{2}{6} = 0.333$ + - $p_{\text{Maple}} = \frac{1}{6} = 0.167$ + +$$ +\sum p_i^2 = (0.5)^2 + (0.333)^2 + (0.167)^2 = 0.25 + 0.111 + 0.028 = 0.389 +$$ + +$$ +\text{Inverse Simpson's Index} = \frac{1}{0.389} \approx 2.57 +$$ + +This suggests that the community diversity is roughly equivalent to having 2.57 equally abundant species. + + +**References** +Simpson, E. H. (1949). Measurement of diversity. Nature, 163(4148), 688. diff --git a/README.md b/README.md new file mode 100644 index 0000000..3d6f368 --- /dev/null +++ b/README.md @@ -0,0 +1,284 @@ + + + +# afribat: African Bat Database in R + + + + +The {afribat} R package provides access to the African Bat Database in +the form of `tibble` (tabular) or `sf` (spatial) objects. This package +is designed to enhance reproducibility in ecological and evolutionary +research by seamlessly integrating AfriBat data into the R programming +ecosystem. It serves as a valuable tool for researchers focusing on bat +ecology, biodiversity, and conservation. + +## Background + +The African bat database is the first accessible dataset of occurrence +records, distribution models and conservation metrics for all bat +species in sub-Saharan Africa where all the records have been carefully +examined and corrected for current taxonomy. This database has been a +long time in the making and will be crucial in resolving the +distributions of poorly recorded bat taxa in sub-Saharan Africa. + +The database contains 17,285 unique locality records of all of the 266 +species of bats currently recognized from sub-Saharan Africa (Fig. 2). +The number of species recognized in this region has increased by 60% in +the last 100 years, and 17% since 2000. In recent years, the increase in +species numbers was primarily due to new species being discovered (both +de novo descriptions and epithet splits) in the families +Vespertilionidae, Rhinolophidae, Pteropodidae and Miniopteridae. + +The database is intended to be a dynamic, living dataset that will be +updated regularly, at least once a year, or as new data becomes +available, and errors are identified and corrected. Future updates will +welcome new or previously unavailable data, will incorporate taxonomic +classification changes, and will include the distribution of newly +resolved and described species. Updates of the dataset will be made +directly on Github () + +## Installation + +You can install the development version of afribat from +[GitHub](https://github.com/) with: + +``` r +# install.packages("pak") +pak::pak("oousmane/afribat") +``` + +**Note**: Two important dependencies of {afribat}, the {sf} package for +spatial data science and the {readr} package for tabular data read in +and write out , require some low-level software libraries to be +installed on your system. Depending on which operating system you use, +this can mean that you have to install these system requirements first, +before you can install {afribat}. See the installation guides of sf and +readr or details. To use effectively the data package, consider to +install the entire tidyverse ecosystem. + +If you want to install {sf} and readr or tydiverse + +``` r +# install sf and readr only + install.packages( + c( + "sf", + "readr" + ) + ) +# install sf and tidyverse, readr is actually included in tidyverse (a bit long ) + install.packages( + c( + "sf", + "tidyverse" + ) + ) +``` + +## Retrieving data using administrative units + +This package serves as a comprehensive data resource, bundling the +entire database and making it readily available as tibble or sf objects +for advanced analysis. Designed to integrate seamlessly into workflows +within the R programming environment, it provides a streamlined approach +to data handling and spatial analysis. + +The example below demonstrates how to load the spatial version of the +database and extract information for a specific administrative +level—such as `admin1` ie ‘Burkina Faso’, highlighting the package’s +flexibility and ease of use. This is for learning purpose. Some +considerations are neglicted. + +``` r +library(sf) +#> Linking to GEOS 3.11.0, GDAL 3.5.3, PROJ 9.1.0; sf_use_s2() is TRUE +library(afribat) + + +# Load data +data("afribats_sf", package = "afribat") +#> Warning in data("afribats_sf", package = "afribat"): data set 'afribats_sf' not +#> found + +# Load Burkina Faso boundary +bf <- read_sf("https://github.com/oousmane/hexburdb/raw/main/map/admin0.gpkg") + +# Spatial filtering and year filtering +bats80 <- st_filter(afribats_sf, bf, .predicate = st_within) |> + dplyr::filter(year == 1980) + +# Check if results are empty +if (nrow(bats80) == 0) { + stop("No data found for the specified criteria (year 1980)") +} + +# Extract species names +species <- bats80 |> + st_drop_geometry() |> + dplyr::pull("species") |> + as.character() + +# Check species +if (length(species) == 0) { + stop("No species data found for the filtered dataset") +} + +# Example usage of margalef index +margalef(species) +#> [1] 5.595365 +``` + +## Biodiversity indices + +{afribat} provides a set of functions to compute common ecological +diversity indices. Each index includes its formula, conceptual +explanation, and an example. References are provided for further +reading. + +### Margalef diversity index + +The Margalef index measures species richness adjusted for sample size. +It emphasizes the number of species ($S$) relative to the total number +of individuals ($N$). The formula is given by : + +$$ +D_M = \frac{S - 1}{\log(N)} +$$ where : + +- $S$: Number of unique species +- $N$: Total number of individuals in the sample + +The Margalef index provides a measure of species richness while +accounting for the size of the sample. Larger samples are expected to +have more species. + +For further reading see : Margalef, R. (1958). Information theory in +ecology. General Systems, 3, 36–71. + +``` r +library(afribat) +margalef(species) +#> [1] 5.595365 +``` + +### Shannon-Weiner Index + +The Shannon-Weiner index measures the diversity of a community by +considering both the richness and evenness of species. It is derived +from information theory and quantifies the uncertainty (entropy) in +predicting the species of an individual randomly selected from the +sample. The formula is given by + +### Formula + +$$ +H = -\sum_{i=1}^{S} p_i \log(p_i) +$$ + +Where: + +- $H$: Shannon-Weiner index (diversity) + +- $p_i$: Proportion of individuals belonging to species $i$ + ($p_i = \frac{n_i}{N}$) + +- $n_i$: Number of individuals in species $i$ + +- $N$: Total number of individuals in the community + +- $S$: Total number of unique species + +The Shannon-Weiner index provides a measure of biodiversity. A higher +$H'$ value indicates a more diverse and evenly distributed community. + +**Example Calculation** + +Given the following dataset: + +| Species | Count | +|---------|-------| +| Oak | 3 | +| Pine | 2 | +| Maple | 1 | + +- Total individuals ($N$) = 3 + 2 + 1 = 6 +- Proportions ($p_i$): + - $p_{\text{Oak}} = \frac{3}{6} = 0.5$ + - $p_{\text{Pine}} = \frac{2}{6} = 0.333$ + - $p_{\text{Maple}} = \frac{1}{6} = 0.167$ + +$$ +H = -(0.5 \log(0.5) + 0.333 \log(0.333) + 0.167 \log(0.167)) +$$ $$ +H = 1.011 +$$ + +``` r +shannon_weiner(species) +#> [1] 2.864875 +``` + +**Interpretation** + +- **High** $H$: Indicates a diverse community with even distribution of + species. + +- **Low** $H$ : Suggests dominance by a few species or low species + richness. + +For further reading, see : Shannon, C. E., & Weaver, W. (1949).  *The +Mathematical Theory of Communication*. Urbana, IL: University of +Illinois Press. + +### Simpson’s Dominance Index + +The Inverse Simpson’s Index is another diversity measure related to +Simpson’s Dominance Index. Instead of quantifying the probability that +two randomly selected individuals belong to the same species, it focuses +on the effective number of equally abundant species. The formula for +Simpson’s index computation is given by : + +$$ +D = \frac{1}{\sum_{i=1}^{S} p_i^2} +$$ + +Where: - $D$: Simpson’s Dominance Index (inverse) - $p_i$: Proportion of +individuals belonging to species $i$ $p_i = \frac{n_i}{N}$ - $n_i$: +Number of individuals in species $i$ - $N$: Total number of individuals +in the community - $S$: Total number of unique + +The Inverse Simpson’s Index can be interpreted as the number of equally +abundant species necessary to produce the given community diversity. A +higher value indicates greater diversity, as it suggests you would need +more equally abundant species to achieve the observed distribution. + +**Example Calculation** + +Given the following dataset: + +| Species | Count | +|---------|-------| +| Oak | 3 | +| Pine | 2 | +| Maple | 1 | + +- Total individuals ($N$)) = $3 + 2 + 1 = 6$ +- Proportions ($p_i$): + - $p_{\text{Oak}} = \frac{3}{6} = 0.5$ + - $p_{\text{Pine}} = \frac{2}{6} = 0.333$ + - $p_{\text{Maple}} = \frac{1}{6} = 0.167$ + +$$ +\sum p_i^2 = (0.5)^2 + (0.333)^2 + (0.167)^2 = 0.25 + 0.111 + 0.028 = 0.389 +$$ + +$$ +\text{Inverse Simpson's Index} = \frac{1}{0.389} \approx 2.57 +$$ + +This suggests that the community diversity is roughly equivalent to +having 2.57 equally abundant species. + +**References** Simpson, E. H. (1949). Measurement of diversity. Nature, +163(4148), 688. diff --git a/data-raw/afribat.R b/data-raw/afribat.R new file mode 100644 index 0000000..ea693f4 --- /dev/null +++ b/data-raw/afribat.R @@ -0,0 +1,29 @@ +library(readr) +library(dplyr) +library(janitor) +library(lubridate) +library(sf) + +# tibble dataset w/ missing coordinates + +afribats_df <- readr::read_csv("https://figshare.com/ndownloader/files/50882610") |> + janitor::clean_names() |> + dplyr::rename(museum = museum_number) |> + dplyr::mutate(date = { + ifelse(!is.na(date),paste0(substr(date, 1,7),year),date) |> + lubridate::dmy() + }) + + +afribats_sf <- afribats_df |> + dplyr::filter(!(is.na(longitude) & is.na(latitude))) |> + sf::st_as_sf(coords = c("longitude", "latitude"),crs = 4326) + +usethis::use_data(afribats_df, afribats_sf, internal = TRUE, overwrite = TRUE) + + + + +readr::write_csv(afribats_df,file = "inst/extdata/afribats.csv") +sf::write_sf(afribats_sf,"inst/extdata/afribats_sf.gpkg",overwrite=TRUE) + diff --git a/data/afribat.R b/data/afribat.R new file mode 100644 index 0000000..6e43065 --- /dev/null +++ b/data/afribat.R @@ -0,0 +1,18 @@ +delayedAssign("afribats", local({ + if (requireNamespace("tibble", quietly = TRUE)) { + tibble::as_tibble(afribat:::afribats_df) + } else { + afribat:::afribats_df + } +})) + + +# https://www.mm218.dev/posts/2022-12-01-sf-in-packages/ see Update section +delayedAssign("afribat_sf", local({ + try( + sf::read_sf( + system.file("extdata/afribat_sf.gpkg", package = "afribat") + ), + silent = TRUE + ) +})) diff --git a/docs/.nojekyll b/docs/.nojekyll new file mode 100644 index 0000000..8b13789 --- /dev/null +++ b/docs/.nojekyll @@ -0,0 +1 @@ + diff --git a/docs/404.html b/docs/404.html new file mode 100644 index 0000000..6be3934 --- /dev/null +++ b/docs/404.html @@ -0,0 +1,107 @@ + + + + + + + +Page not found (404) • afribat + + + + + + + + + + + + + + + + + + +