A package for species distribution modeling using effort-weighted Log-Gaussian Cox processes
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Updated
Nov 26, 2024 - R
A package for species distribution modeling using effort-weighted Log-Gaussian Cox processes
Spatial econometrics models and statistical analysis
For Macroecology class - a simple GLM approach to predict tree specie distribution based on environmental predictors.
📓 Companion repository to Grenié et al. 2020 Published in Ecological Indicators
A spatial econometric analysis examining technology adoption patterns among small and medium enterprises (SMEs) across Nairobi's subcounties using Spatial Durbin Models.
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.
Coastwide Pacific Spiny Dogfish trends
Repository for the Kingston University threat study
Potential interactive effects of climate and land cover changes on bats in Vietnam
📦 R package for the State and Transition Model with forest management
Interpretable Species Distribution Modeling example
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.
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