An R package to generate species range maps based on ecoregions and a user-friendly GBIF wrapper

Code and documentation of publication on constructing biodiversiy maps from readily available occurrence data

Field data collecting app for android, optimized for conducting biological inventories at high speed

R Script for investigating past and present species distribution using MaxEnt (machine learning algorithm) and Environmental PCA (PCA-env) for niche dynamics of the species

Extract data on plant species distribution form Kew Gardens' Plants of the World On-line

Leverages big data and machine learning for wildlife conservation using GBIF species data. PySpark is used for preprocessing, K-Means for clustering, and Decision Trees for habitat prediction. Tableau visualizes species distribution, biodiversity, and conservation insights.