Julia framework for spatial ecology - data types and utilities
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Updated
Jun 29, 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'
Spatial patterns in biodiversity change
📋 Proof of Concept of the Vulnerability Framework
Data, code & figures used to assess global patterns of potential thermal niche filling
Repository for the R package "envar", designed to download and process environmental variables for macroecology and biogeography
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).
My personal repository
data and R code to reproduce the analysis and plots presented in the manuscript: "Macrophenological dynamics from citizen science plant occurrence data"
Paper - Best practices for building and curating databases for comparative analyses
This repository contains the R code and the associated data files that were used to execute the entire workflow for the manuscript "Habitat and not topographic heterogeneity constrains the range sizes of African mammals" (published in the Journal of Biogeography)
Paper - Seasonal fattening among bat populations
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