城市建成区公共空间面积指标评价数据集（城市建成区面积）（2018年）

从土地覆盖数据提取“城镇用地”亚类构建建成区，从导航矢量提取公共空间数据（公园绿地、广场、道路）。评价过程：①定义Generate Fishnet 函数，利用栅格网格转化法生成全国公里网格；②公园绿地和广场空间数据叠加全国网格，生成其公里网格空间数据；③依据道路建设宽度规范，将高速、省道、县道、乡镇道路和城市其他道路转换为面数据，叠加全国网格生成公里网格道路空间数据；④将道路与公园绿地和广场数据加和后除以建成区面积得到公共空间面积比例；⑤通过空间统计分析将结果由公里网格尺度向县、市、省和全国尺度转换。

Built-up areas were constructed by extracting the "urban land" subclass from land cover data, while public space data (including park green spaces, squares, and roads) were collected from navigation vector datasets. The evaluation workflow is as follows:
1. Define the Generate Fishnet function, and generate the national kilometer grid using the raster grid transformation method.
2. Overlay the park green space and square spatial data with the national kilometer grid to generate their corresponding kilometer-grid-scale spatial datasets.
3. Convert expressways, provincial roads, county roads, township roads and other urban roads into polygon data according to road construction width specifications, then overlay the converted polygon data with the national kilometer grid to produce the kilometer-grid-scale road spatial dataset.
4. Calculate the public space area ratio by summing the road dataset, park green space dataset and square dataset, then dividing the total sum by the built-up area.
5. Upscale the analysis results from the kilometer-grid scale to county, municipal, provincial and national scales via spatial statistical analysis.

搜集汇总

背景与挑战

背景概述

该数据集是2018年中国城市建成区公共空间面积指标评价数据，基于土地覆盖和导航矢量数据提取建成区及公共空间（公园绿地、广场、道路），通过网格化处理和空间统计分析，计算公共空间面积比例，并支持从公里网格到县、市、省和全国尺度的转换。数据集为XLSX格式，由中国科学院西北生态环境资源研究院发布，适用于城市规划和人类住区研究。