🌎 An R package for spatial and spatiotemporal GLMMs with TMB
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Updated
Jun 7, 2024 - R
🌎 An R package for spatial and spatiotemporal GLMMs with TMB
The blockCV package creates spatially or environmentally separated training and testing folds for cross-validation to provide a robust error estimation in spatially structured environments. See
Scalable joint species distribution modeling
🌲🌉 Species distribution models with Bayesian additive regression trees
R package providing utilities for INLA
Performs Variables selection and model tuning for Species Distribution Models (SDMs). It provides also several utilities to display results.
A compilation of environmental data for species distribution modelling
Code for the generation of a venomous snake vulnerability surface.
Simulate data and fit 2-species occupancy model à la Rota et al. (2016) w/ Unmarked
Useful tools for constructing species distribution models
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.
Modeling vulnerability of ruffed lemurs to climate change and deforestation
Nonlinear Gradient Nearest Neighbors -- a method for predicting multivariate species compositions from environmental variables based on individualistic but possibly coordinated species responses.
An R package for species geographical distribution and abundance modelling at high spatiotemporal resolution
Environmental Interpolation using Spatial Kernel Density Estimation
🌼🐝 Bayesian joint species distribution models with networks 🐝🌼
Package to calculate Minimum Background Area for SDMs
📓 Companion repository to Grenié et al. 2020 Published in Ecological Indicators
R code for Mariana Orsini's MSc thesis
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