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species-distribution

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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.

  • Updated Oct 18, 2024
  • Python

A global, taxon-stratified, high-resolution sampling-effort dataset from GBIF for bias-aware ecological modelling — reproducible R-based workflow for generating global sampling-effort rasters from GBIF occurrence records across spatial, temporal, and taxonomic scales. For more details, see El-Gabbas (2026), Diversity and distributions (accepted).

  • Updated May 6, 2026
  • R

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