landscape-connectivity
CommunityQuantify landscape connectivity for conservation.
Data & Analytics#graph-theory#landscape-connectivity#Circuitscape#resistance-surface#patch-metrics#least-cost-path#connectivity-analysis
Authorbaratadiego
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Analyzes landscape connectivity by combining graph-theoretic indices with resistance-based models to identify important habitat patches and corridors for conservation planning.
Core Features & Use Cases
- Graph-based connectivity metrics: IIC, PC, dIIC, and dPC to quantify patch and landscape importance.
- Resistance surface integration: Build and apply resistance rasters to model functional connectivity and Circuitscape workflows.
- Corridor identification and planning: Delineate least-cost paths and pinch points; rank patches for restoration or protection.
- Use Case: In a landscape with multiple patches, identify top patches that contribute most to connectivity and propose corridors for conservation prioritization.
Quick Start
Provide patch centroid data and run the connectivity workflow using the included scripts to generate patch metrics and the landscape connectivity summary.
Dependency Matrix
Required Modules
numpynetworkx
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: landscape-connectivity Download link: https://github.com/baratadiego/ecological-agent-skills/archive/main.zip#landscape-connectivity Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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