Julia framework for spatial ecology - data types and utilities
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Updated
Sep 26, 2026 - Julia
Julia framework for spatial ecology - data types and utilities
An R package to generate ecologically-informed species range maps from occurrence data with seamless GBIF integration
population and community dynamics on spatial graphs, in julia.
Spatial analysis and simulation of ecological communities
Functions and types to access GBIF data from Julia
Processing NEON soil microbe marker gene sequence data into ASV tables.
Repository for the manuscript: 'Impacts of past abrupt land change on local biodiversity globally'
Repository for the R package "envar", designed to download and process environmental variables for macroecology and biogeography
Spatial patterns in biodiversity change
Temporal slicing of phylogenies and cumulative-diversity rate analysis for macroecology in Python
Data, code & figures used to assess global patterns of potential thermal niche filling
📋 Proof of Concept of the Vulnerability Framework
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).
Data & code: Human targeting of morphologically unique fishes amplifies the risk of functional erosion. Nature Communications (2026).
My personal repository
Paper - Best practices for building and curating databases for comparative analyses
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