🌎 An R package for spatial and spatiotemporal GLMMs with TMB
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Updated
Aug 14, 2024 - R
🌎 An R package for spatial and spatiotemporal GLMMs with TMB
Spatially-nested hierarchical SDMs
Species distribution modeling tools, including a python implementation of Maxent
Modelling framework for creating Integrated SDMS
Repository for ALA Labs
Scalable joint species distribution modeling
Workflow to fit niche models to species occurrence data using glmnet via maxnet package
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
An R package for species geographical distribution and abundance modelling at high spatiotemporal resolution
A website to hold information and resources for the Atlantic Canada Species At Risk Habitat Modelling Community of Practice
[ISPRS 2024] Sat-SINR: High-Resolution Species Distribution Models through Satellite Imagery
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.
A R package to perform uniform sampling in the environmental space
Useful tools for constructing species distribution models
normalizing metagenomics abundances based on OTU abundances.
Species Distribution Model Pipeline
Multi-scale modeling for conservation and connectivity of African savanna elephant in Tanzania
This project relates to a methodological report on canton Bern forest fire modelling and mitigation strategies.
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