GeoLifeCLEF challenge toolkit and starter code
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Updated
Feb 29, 2024 - Jupyter Notebook
GeoLifeCLEF challenge toolkit and starter code
🌎 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
A short tutorial for creating a species distribution model using QGIS, R, and MaxEnt.
Scalable joint species distribution modeling
The zoon R package
🌲🌉 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.
SDM for Python Developers
A compilation of environmental data for species distribution modelling
Code for the generation of a venomous snake vulnerability surface.
Species distribution modeling tools, including a python implementation of Maxent
A brief Python tutorial for geospatial classification.
Simulate data and fit 2-species occupancy model à la Rota et al. (2016) w/ Unmarked
Ecological Niche Modelling Using Deep Learning
Useful tools for constructing species distribution models
Workshop on Introduction to Species Distribution Modelling, devolped by Pedro Henrique Braga and Julia Nordlund.
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
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