由多变量环境栅格训练物种分布模型，输出 0-1 栖息地适宜性概率与变量贡献度。Models habitat suitability probability from environmental rasters with RF or logistic regression. 输出适宜性 GeoTIFF + 模型参数 JSON（含交叉验证 AUC）。
Design & media
geoskill-ecological-corridor-design
Try it由栖息地适宜性构建阻力面，Dijkstra 最小成本路径识别生态廊道，并计算 PC 景观连通性指数。Designs ecological corridors with least-cost paths and connectivity indices. 输出阻力面与廊道 GeoTIFF + 参数 JSON。
What it does
由栖息地适宜性构建阻力面，Dijkstra 最小成本路径识别生态廊道，并计算 PC 景观连通性指数。Designs ecological corridors with least-cost paths and connectivity indices. 输出阻力面与廊道 GeoTIFF + 参数 JSON。
The skill document
生态廊道设计 | Ecological Corridor Design
The resistance surface is computed as (1 − suitability) × 100 + 1; source–sink least-cost paths are solved on a 4-connected raster graph with scipy.sparse.csgraph.dijkstra (automatically bypassing high-resistance bands), and the corridor raster is generated according to the buffer width; the PC connectivity index is the sum of squared area proportions of connected patches, measuring overall landscape connectivity (a single large patch > fragmented small patches).
Use cases: connectivity analysis of ecological conservation red lines, wildlife migration corridor planning, and urban greenway route selection.
Dependencies / 依赖
pip install numpy rasterio scipy geopandas shapely
Usage / 使用方法
Example 1: synthetic two-patch + corridor scenario
python geoskill-ecological-corridor-design.py --bbox 116.0 39.0 117.0 40.0 --synthetic --output-dir ./output
Example 2: real suitability raster
python geoskill-ecological-corridor-design.py --input suitability.tif --output-dir ./real
Example 3: wider corridor buffer
python geoskill-ecological-corridor-design.py --bbox 116 39 117 40 --synthetic --buffer 4 --output-dir ./wide
Example 4: adjusting the PC threshold
python geoskill-ecological-corridor-design.py --bbox 121 31 122 32 --synthetic --pc-threshold 0.6 --output-dir ./pc06
Example 5: silent batch run
python geoskill-ecological-corridor-design.py --bbox 113 23 114 24 --synthetic --quiet --output-dir ./batch
Output / 输出
| File | Format | Description |
|---|---|---|
resistance_surface.tif | GeoTIFF (float32) | Resistance surface [1,101], EPSG:4326 |
corridor.tif | GeoTIFF (float32) | Corridor raster (1 = corridor) |
corridor_params.json | JSON | Source/sink pixels, path length, total cost, PC index |
output-manifest.json | JSON | Run manifest (inputs/outputs/QA/software versions) |
Data Source / 数据源 / Source
Local GeoTIFF (habitat suitability, optional); least-cost path and the PC index are published landscape-ecology methods; synthetic mode generates a two-patch scenario locally with no external data sources.
Privacy / 隐私声明 / Privacy
- Runs fully offline by default and makes no network requests
--syntheticmode reads no external data- All computation is done locally; user data is never uploaded
License / License
MIT
name: geoskill-ecological-corridor-design description: '由栖息地适宜性构建阻力面，Dijkstra 最小成本路径识别生态廊道，并计算 PC 景观连通性指数。Designs ecological corridors with least-cost paths and connectivity indices. 输出阻力面与廊道 GeoTIFF + 参数 JSON。'
生态廊道设计 | Ecological Corridor Design
阻力面 = (1 - 适宜性)×100 + 1；在 4-邻域栅格图上用 scipy.sparse.csgraph.dijkstra 求源-汇最小成本路径（自动绕开高阻力带），按缓冲宽度生成廊道栅格；PC 连通性指数 = 各连通斑块面积占比平方和，度量景观整体连通度（单一大斑块 > 破碎化小斑块）。
适用场景：生态保护红线连通性分析、野生动物迁徙廊道规划、城市绿道选线。
依赖
pip install numpy rasterio scipy geopandas shapely
使用方法
示例 1：合成双斑块+走廊场景
python geoskill-ecological-corridor-design.py --bbox 116.0 39.0 117.0 40.0 --synthetic --output-dir ./output
示例 2：真实适宜性栅格
python geoskill-ecological-corridor-design.py --input suitability.tif --output-dir ./real
示例 3：更宽廊道缓冲
python geoskill-ecological-corridor-design.py --bbox 116 39 117 40 --synthetic --buffer 4 --output-dir ./wide
示例 4：调整 PC 阈值
python geoskill-ecological-corridor-design.py --bbox 121 31 122 32 --synthetic --pc-threshold 0.6 --output-dir ./pc06
示例 5：静默批量
python geoskill-ecological-corridor-design.py --bbox 113 23 114 24 --synthetic --quiet --output-dir ./batch
输出
| 文件 | 格式 | 说明 |
|---|---|---|
resistance_surface.tif | GeoTIFF (float32) | 阻力面 [1,101]，EPSG:4326 |
corridor.tif | GeoTIFF (float32) | 廊道栅格（1=廊道） |
corridor_params.json | JSON | 源/汇像元、路径长度、总成本、PC 指数 |
output-manifest.json | JSON | 运行清单（输入/输出/QA/软件版本） |
数据源 / Source
本地 GeoTIFF（栖息地适宜性，可选）；最小成本路径与 PC 指数为景观生态学公开方法；合成模式本地生成双斑块场景，无外部数据源。
隐私声明 / Privacy
- 默认完全离线运行，不发起任何网络请求
--synthetic模式不读取任何外部数据- 所有计算在本地完成，不上传用户数据
License
MIT
Related skills
Derive aerodynamic roughness and ventilation potential from building morphology and extract least-resistance ventilation corridors.
1 installs
基于生境异质性假说，用 NDVI 生产力、纹理结构异质性与地形粗糙度三类代理估算物种丰富度空间分布。Maps species richness proxies from NDVI, texture and terrain heterogeneity. 输出物种丰富度与生境质量 GeoTIFF + 参数 JSON。
多压力因子归一化加权叠加得综合影响指数，独立概率模型估算累积效应，按阈值划分5 级影响等级。Assesses environmental impact grades by multi-factor overlay and cumulative effects. 输出影响指数与等级 GeoTIFF。
用当量因子法评估供给、调节、支持、文化四类生态系统服务价值。Estimates four ecosystem service values with a simplified InVEST plus equivalent-factor method. 输出四类服务价值 GeoTIFF 与总量 JSON。
交通噪声衰减模型制图 dB(A) 等级：FHWA 简化声源级、点/线源几何发散、建筑屏障衰减与地面吸收。Maps traffic noise levels with distance attenuation, building shielding and terrain. 输出噪声级 GeoTIFF + 参数 JSON。
1 installs