Geoskill: Urban Green Equity

Prerequisites / 先准备 X 文件

⚠️ 必读 — 本 skill 不属于即用型，需要先准备特定文件才能跑。

本 skill 需要 3 个 GeoJSON：公园/绿地、路网、社区边界。人口栅格和入口点是可选的。

👉 完整教程见仓库根目录 PREREQUISITES.md 1.7 节。

先准备 X 文件：OSM 提 3 个 GeoJSON 即可跑（osmnx 10 行 Python）。

快速试跑命令：

python urban_green_equity.py --green-sources parks.geojson --network roads.geojson --communities neighborhoods.geojson --walk-minutes 10 --output-dir ./uge

Urban Green Equity

Evaluates the fairness of urban green space distribution by analyzing quantity, quality, and walkable accessibility across populations and communities. Identifies service gaps and priority areas for green infrastructure investment.

Trigger

Use when the user wants to:

• Assess green space distribution equity across neighborhoods
• Compute walkable green space coverage for population groups
• Identify communities with inadequate green space access
• Evaluate candidate sites for new green spaces
• Generate equity metrics (Gini, coverage rate, per-capita stats)
• Compare green space accessibility between areas

CLI Usage

# Basic equity analysis
python scripts/urban_green_equity.py \
    --green-sources parks.geojson \
    --network roads.geojson \
    --communities neighborhoods.geojson \
    --walk-minutes 10

# With population raster and entrances
python scripts/urban_green_equity.py \
    --green-sources parks.geojson \
    --network roads.geojson \
    --communities neighborhoods.geojson \
    --population pop.tif \
    --entrances park_entrances.geojson \
    --walk-minutes 5 10 15

# With barriers and candidate sites
python scripts/urban_green_equity.py \
    --green-sources parks.geojson \
    --network roads.geojson \
    --communities neighborhoods.geojson \
    --barriers rivers_railways.geojson \
    --candidate-sites new_sites.geojson \
    --equity-metrics gini,coverage_rate,per_capita_stats

# Full analysis
python scripts/urban_green_equity.py \
    --green-sources parks.geojson \
    --network roads.geojson \
    --communities neighborhoods.geojson \
    --population pop.tif \
    --entrances entrances.geojson \
    --barriers barriers.geojson \
    --candidate-sites candidates.geojson \
    --walk-minutes 10 \
    --equity-metrics gini,coverage_rate,per_capita_stats,coverage_stats,disparity_ratio \
    --output-dir my-analysis

Parameters

Equity Metrics

Output

Exit Codes

Notes

• OSM park boundaries do not guarantee public access; entrance validation is recommended for accurate results
• Population raster and community statistics are not double-counted
• Equity metrics are scale-sensitive; results vary with community size
• Sensitive population attributes are not inferred from spatial data alone
• Walk network service areas use convex hull approximation of reachable nodes

数据下载

本 skill 可自动从 Microsoft Planetary Computer 下载数据 (无需 API key):

python urban_green_equity.py --bbox 116,39,117,40 --date-range 2024-06-01,2024-06-30 --output-dir 

• --bbox W,S,E,N: WGS-84 边界框 (西, 南, 东, 北)
• --date-range START,END: 日期范围 (YYYY-MM-DD,YYYY-MM-DD)
• --aoi-file : 替代 --bbox 的 GeoJSON 多边形
• --cache-dir : 缓存目录 (默认 ~/.geoskill_cache)

当用户只给 --bbox + --date-range (没有 --image) 时，skill 自动下载数据。 当用户给 --image 时，走原文件路径 (向后兼容)。