Tools for working with Maxent in R

Faster, better, smarter ecological niche modeling and species distribution modeling

Modelling framework for creating Integrated SDMS

Benchmarking Species Distribution Models

An R package for species geographical distribution and abundance modelling at high spatiotemporal resolution

Modeling vulnerability of ruffed lemurs to climate change and deforestation

Thesis for GIST master’s at USC-SSCI. Study compares tuned versus default MaxEnt models at two different covariate resolutions (30m and 800m). Various R packages were used in creating and evaluating the models. ArcGIS Pro used for data preparation and presentation.

Data and code from Jenkins and Stevens (2022)

Scripts for species distribution modeling in R using MaxEnt

Research compendium for "Niche shifts after long-distance dispersal events in bipolar sedges (Carex, Cyperaceae)"

Species distributions models of butterflies 🦋 and moths for the DECIDE project. GB coverage, 100m resolution.

Utilize R and GBIF to automatically download data and run optimized MaxEnt models for multiple species.

Repository for the Kingston University threat study

Potential interactive effects of climate and land cover changes on bats in Vietnam

Interpretable Species Distribution Modeling example

📦 R package for the State and Transition Model with forest management

A package for species distribution modeling using effort-weighted Log-Gaussian Cox processes

Coastwide Pacific Spiny Dogfish trends

Modelos de distribución de especies para la ocurrencia y la biomasa de la anchoa, la sardina y la alacha con el método BRT-RAC utilizando modelos hurdle.

For Macroecology class - a simple GLM approach to predict tree specie distribution based on environmental predictors.