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Updated: Sep 11, 2025

An R-Based Landscape Validation of a Competing Risk Model
Published on: September 16, 2022
Optimizing regional ecological security patterns based on interpretable machine learning models: A case study of
Dehu Yang1, Yin Gao2, Jun Chen2
1Faculty of Geosciences and Engineering, Southwest Jiaotong University, Chengdu, 610031, China; Moganshan Geospatial Information Laboratory, Huzhou, 313200, China; National Geomatics Center of China, Beijing, 100830, China.
This study maps ecological source areas and resistance surfaces around urban zones to improve landscape connectivity and regional ecological security. Findings reveal 20 source patches, high-resistance zones, and critical corridors for sustainable urban development.
Area of Science:
- Ecological landscape connectivity
- Urban ecological security
- Geospatial analysis
Background:
- Ecological source area delineation and resistance surface construction are vital for urban landscape connectivity and regional ecological security.
- Achieving high-quality, sustainable urban development necessitates robust ecological planning.
- Integrating natural and socio-economic factors is key to assessing ecological resistance.
Purpose of the Study:
- To delineate ecological source areas and construct resistance surfaces in urban environments.
- To analyze the ecological security pattern of Huzhou using advanced algorithms and circuit theory.
- To provide policy guidance for sustainable regional development and ecological management.
Main Methods:
- Utilized CatBoost algorithm with SHAP (Shapley Additive exPlanations) for interpretable machine learning analysis.
- Applied Circuit Theory to identify ecological corridors, pinch points, and barrier surfaces.
- Employed the 3D Realistic Geospatial Landscape Model (3dRGLm) for enhanced spatial visualization.
Main Results:
- Identified 20 ecological source patches covering 1117 km².
- Mapped 500.75 km² (8.6%) of high ecological resistance areas.
- Identified 40 ecological corridors, 348 pinch points, and 11 barrier surfaces, supporting a 'two screens, three belts, four corridors, and five zones' spatial framework.
Conclusions:
- The study provides a spatial framework for ecological security and sustainable development in urban areas.
- Findings offer practical implications for ecological planning and management, enhancing regional ecological security.
- The integrated approach enhances understanding and planning for ecologically critical areas.
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