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name: urban-green-equity description: > Assess urban green space distribution equity across populations and communities. Evaluates quantity, quality, and walkable accessibility of parks and green spaces, identifies service gaps and priority areas for intervention. Use when the user needs green space equity analysis, service coverage assessment, or priority community identification.

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

Parameter	Required	Default	Description
--green-sources	Yes	—	Green spaces (GeoJSON, Polygon features)
--network	Yes	—	Walkable road network (GeoJSON, LineString)
--communities	Yes	—	Community boundaries (GeoJSON, Polygon)
--population	No	—	Population raster (GeoTIFF)
--entrances	No	—	Green space entrance points (GeoJSON, Point)
--barriers	No	—	Walk barriers — rivers, railways (GeoJSON, LineString)
--walk-minutes	No	10	Walk time threshold in minutes
--network-mode	No	walk	Network mode (currently only walk)
--equity-metrics	No	gini,coverage_rate,per_capita_stats,coverage_stats	Comma-separated metrics
--candidate-sites	No	—	Candidate new green space sites (GeoJSON)
--output-dir	No	uge-output	Output directory
--place	No	—	Place name for AOI (future)
--bbox	No	—	Bounding box xmin ymin xmax ymax (4 floats)
--aoi-file	No	—	AOI polygon file (GeoJSON)
--date-range	No	—	Date range START,END for auto-download
--cache-dir	No	—	Override the default cache directory

Equity Metrics

Metric	Description
gini	Gini coefficient of green space per capita (0=perfect equality)
coverage_rate	Fraction of communities with accessible green space
per_capita_stats	Mean/min/max/median green area per capita (m²/person)
coverage_stats	Mean/min/max/median green coverage ratio
disparity_ratio	Ratio of 75th to 25th percentile per-capita green
population_weighted_coverage	Population-weighted average coverage ratio
total_green_area	Total accessible green area across all communities
total_served_population	Total population with green space access

Output

File	Description
green_service_areas.geojson	Walkable service areas from green spaces
community_metrics.csv	Per-community green space metrics
equity_summary.json	Equity metrics summary
priority_communities.geojson	Communities ranked by intervention priority
scenario_report.pdf	Candidate site evaluation report (JSON fallback)
request.json	Input parameters manifest
dataset-manifest.json	Input data metadata
output-manifest.json	Output metadata and results summary
qa.json	Quality assurance report

Exit Codes

Code	Meaning
0	Success
2	Argument error
3	Dependency missing
6	Validation error
7	Processing failure

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 <tmp>

• --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 <path.geojson>: 替代 --bbox 的 GeoJSON 多边形
• --cache-dir <path>: 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)。