species-distribution-modeling
CommunityEnd-to-end species distribution modeling.
Data & Analytics#reproducibility#ecology#sdm#habitat-suitability#climate-projections#model-ensemble#maxent
Authorbaratadiego
Version1.0.0
Installs0
System Documentation
What problem does it solve?
The skill enables an AI agent to execute a full SDM/ENM workflow, from data preparation and predictor handling to model fitting, ensemble construction, projection, and interpretation, enabling reproducible, defensible habitat predictions.
Core Features & Use Cases
- End-to-end SDM pipeline: occurrence cleaning, predictor selection, ensemble modeling (MaxEnt and alternative algorithms), projection under climate scenarios, and interpretation.
- Reproducible workflows: structured steps, tuning, reporting, and traceable results suitable for ODMAP/ODMAP-style reporting.
- Use Case: rapidly compare niche models across multiple species and generate policy-relevant maps and summaries for conservation planning.
Quick Start
Run a complete SDM for a target species using current predictors and project to future climates, then review the suitability maps and reports.
Dependency Matrix
Required Modules
yamlpandasnumpymatplotlibscikit-learnelapidjoblib
Components
scripts
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: species-distribution-modeling Download link: https://github.com/baratadiego/ecological-agent-skills/archive/main.zip#species-distribution-modeling Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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