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README.Rmd
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README.Rmd
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---
output: github_document
---
<!-- README.md is generated from README.Rmd. Please edit that file -->
```{r, include = FALSE}
knitr::opts_chunk$set(
collapse = TRUE,
comment = "#>",
fig.path = "man/figures/README-",
out.width = "100%"
)
```
# movedesign <img style="padding: 15px 0px 0px 0px;" src='https://raw.githubusercontent.com/ecoisilva/movedesign/main/inst/app/www/logo.png' align="right" height="140"/>
<!-- badges: start -->
[](https://zenodo.org/badge/latestdoi/474098792)<br>
[](https://github.com/ecoisilva/movedesign/actions/workflows/R-CMD-check.yaml)<br>
[](https://www.repostatus.org/#active)
<br>
<!-- [](http://hits.dwyl.com/ecoisilva/movedesign)<br> -->
<!-- [](https://app.codecov.io/gh/ecoisilva/movedesign?branch=main) -->
<!-- badges: end -->
<br>
## Overview
The goal of `movedesign` is to assist researchers in designing movement ecology studies related to two main research questions: the estimation of home range and of speed and distance traveled.
Movement ecology studies frequently make use of data collected from animal tracking projects. Planning a successful animal tracking project requires careful consideration and clear objectives. It is crucial to plan ahead and understand how much data is required to accurately answer your chosen research questions, and choose the optimal tracking regime or schedule.
To facilitate study design, we refer to the [ctmm](https://ctmm-initiative.github.io/ctmm/) `R` package. Animal movement is inherently autocorrelated (locations are similar as a function of space and time) and the `ctmm` package allows us to model these data as continuous-time stochastic processes, while dealing with other known biases (such as small sample sizes, or irregular sampling schedules).
The app was built using the `golem` framework.
## Installation
You can install the stable version of `movedesign` like so:
``` r
install.packages("remotes")
remotes::install_github("ecoisilva/movedesign")
```
If you run with any problems, try the solutions listed in the [instalation issues](https://ecoisilva.github.io/movedesign/articles/installation.html) vignette.
## Run the app
To launch `movedesign`, type the following code into the R console after you have loaded the library:
``` r
library(movedesign)
movedesign::run_app()
```
## How to use the app
Run the guided tutorial in the "Home" tab (see the [vignette](https://ecoisilva.github.io/movedesign/articles/tutorial.html) for how to begin), and check out the [manuscript](https://besjournals.onlinelibrary.wiley.com/doi/10.1111/2041-210X.14153) for further details.
## Getting help
If you encounter a bug, please [submit an issue](https://github.com/ecoisilva/movedesign/issues). For more general questions and suggestions, contact [Inês Silva](mailto:i.simoes-silva@hzdr.de?subject=[movedesign]).
## Citation
```r
citation("movedesign")
```
> Silva, I., Fleming, C. H., Noonan, M. J., Fagan, W. F., & Calabrese, J. M. (2023). movedesign: Shiny R app to evaluate sampling design for animal movement studies. Methods in Ecology and Evolution, 14(9), 2216-2225.