spatial-prioritization
CommunityEfficiently design protected areas with ILP.
Data & Analytics#prioritization#reproducibility#cost-analysis#conservation#ILP#planning-units#irreplaceability
Authorbaratadiego
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Systematic conservation planning helps AI agents identify priority protected-area networks that efficiently represent biodiversity targets while minimizing cost and maximizing spatial compactness, using ILP formulations like prioritizr.
Core Features & Use Cases
- Guided ILP-based planning for 30×30 and target-driven conservation networks.
- Produces outputs such as priority maps, irreplaceability surfaces, and cost-effectiveness curves for decision-makers.
- Use cases include reserve design, gap analysis, and scenario comparisons in R/Python workflows.
Quick Start
Run a baseline prioritization using your cost raster and SDM/Biodiversity feature layers to generate a protected-area network.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 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: spatial-prioritization Download link: https://github.com/baratadiego/ecological-agent-skills/archive/main.zip#spatial-prioritization Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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