Julia framework for spatial ecology - data types and utilities
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Updated
Apr 19, 2024 - Julia
Julia framework for spatial ecology - data types and utilities
Species distribution modeling tools, including a python implementation of Maxent
Faster, better, smarter ecological niche modeling and species distribution modeling
Tools for Modeling Niches and Distributions of Species
Functions and types to access GBIF data from Julia
A Python Package for Adaptive Spatio-Temporal Exploratory Model (AdaSTEM)
virtualNicheR: creating virtual fundamental and realised niches
Work with species distributions in Julia
BioModelos is a collaborative online system to map species distributions. This repository stores functions to automate the construction of Species Distribution Models (SDM) from databases gathered, managed and curated by The Alexander Von Humboldt Institute and a network of experts in order to be evaluated and refined.
Pattern-oriented ensemble modelling and simulation (with spatially explicit populations)
aPhyloGeo is a multiplatform application for the analysis of genetic and climatic conditions.
Processing NEON soil microbe marker gene sequence data into ASV tables.
Calculating temperature and precipitation predictability at the global scale
R is nowadays probably the most powerful tool for calculations of all kinds. There are plenty of modules available for work with molecular data. Those will be introduced during the course.
An R package to get taxonomic and distribution data for the ~6500 vascular plants present in the Iberian Peninsula and Balearic Islands
Phylogenetic biogeography SSE models for large state spaces
📦 An R package to compare several methods of bioregionalizations
A model to assess the global risk of Pierce's Disease of grapevines
The Center for Conservation Biology's imaging-spectroscopy-based species classification approach.
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