Benchmarking Species Distribution Models
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Updated
Mar 16, 2026 - R
Benchmarking Species Distribution Models
Modelling framework for creating (Integrated) SDMs
A spatial econometric analysis examining technology adoption patterns among small and medium enterprises (SMEs) across Nairobi's subcounties using Spatial Durbin Models.
Coastwide Pacific Spiny Dogfish trends
Research compendium for "Niche shifts after long-distance dispersal events in bipolar sedges (Carex, Cyperaceae)"
An R package for species geographical distribution and abundance modelling at high spatiotemporal resolution
Potential interactive effects of climate and land cover changes on bats in Vietnam
A package for species distribution modeling using effort-weighted Log-Gaussian Cox processes
Utilize R and GBIF to automatically download data and run optimized MaxEnt models for multiple species.
For Macroecology class - a simple GLM approach to predict tree specie distribution based on environmental predictors.
Faster, better, smarter ecological niche modeling and species distribution modeling
Repository for the Kingston University threat study
Modeling vulnerability of ruffed lemurs to climate change and deforestation
Species distributions models of butterflies 🦋 and moths for the DECIDE project. GB coverage, 100m resolution.
📓 Companion repository to Grenié et al. 2020 Published in Ecological Indicators
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