Faster, better, smarter ecological niche modeling and species distribution modeling
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Updated
Jan 3, 2023 - R
Faster, better, smarter ecological niche modeling and species distribution modeling
Spatial Implicit Neural Representations for Global-Scale Species Mapping - ICML 2023
Introductory lesson to generate range maps for butterfly-host plant interactions and predict distributional shifts using publicly available biodiversity data and data science tools
Slides for the "Interpretable SDM with Julia" workshop
Modeling vulnerability of ruffed lemurs to climate change and deforestation
Environmental Interpolation using Spatial Kernel Density Estimation
Tools for Modeling Niches and Distributions of Species
R package to give easy access to ALA plant occurrence data
A Python class for AutoML spatial classification (designed for Species Distribution Modeling applications).
Submission to the GeoLifeCLEF 2019 Species Recommendation Challenge
Workflow to fit niche models to species occurrence data using glmnet via maxnet package
A Python Package for Adaptive Spatio-Temporal Exploratory Model (AdaSTEM)
"Trade-of between deep learning for species identication...", by Olivier Gimenez et al
A Graphical User Interface-Based R Package for Species Distribution Modeling
Application of Taylor Diagrams to Ecological Niche Models/Species Distribution Models
Species Distribution Model for Rodriguez et al. (2022): Sustainable Human Population Density in Western Europe between 560.000 and 360.000 years ago.
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