Internationally validated open access indicators of large public urban green space for healthy and sustainable cities - supplementary materials

This data package contains supplementary materials related to large public urban green space (LPUGS) availability and accessibility indicator validation conducted for 13 diverse cities worldwide. This research was initiated by the Global Observatory of Healthy and Sustainable Cities for the 1000 Cities Challenge and inclusion in the Global Healthy & Sustainable City Indicators (GHSCI) open-source software.This data package contains the following:The Jupyter Notebook hosting a custom Python script that makes use of the Google Earth Engine API to apply Normalized Difference Vegetation Index (NDVI) filtering on areas of public open space derived from the GHSCI open-source software to identify LPUGS.A folder for each of the 13 cities involved in the study, containing spatial data in .shp format for the urban centre boundary, large public urban green spaces, accessibility grid, and pedestrian network. Additionally, official local reference data is included for the 4 select cities analysed.The instructional video provided to collaborators is also included as a .mp4 file, which outlines how to access the accessibility web map, how to perform the LACO-Wiki validation, and how to access and record comments in the live spreadsheet.The complete validation spreadsheet with comments included as a .pdf file.Supplementary tables listing the urban centre boundary source files, official local reference data details, and further characteristic details of the 13 cities analysed as a .pdf file.Additionally, please follow this link to the GitHub repository hosting the accessibility web maps used in the validation exercise for each city.

本数据包包含针对全球13个多样化城市开展的大型城市公共绿地（Large Public Urban Green Space, LPUGS）可获得性与可达性指标验证相关的补充材料。本研究由全球健康与可持续城市观测站发起，隶属于千城挑战项目，并已纳入全球健康与可持续城市指标（Global Healthy & Sustainable City Indicators, GHSCI）开源软件体系。
本数据包包含以下内容：
1. 一份Jupyter Notebook，其中搭载自定义Python脚本，可借助谷歌地球引擎（Google Earth Engine, GEE）API，对从GHSCI开源软件中提取的公共开放空间区域应用归一化差分植被指数（Normalized Difference Vegetation Index, NDVI）滤波处理，以识别大型城市公共绿地。
2. 为本研究涉及的13座城市各设立一个专属文件夹，其中存储了.shp格式的空间数据，涵盖城市中心边界、大型城市公共绿地、可达性网格与步行网络。此外，还为本次分析选定的4座城市提供了官方本地参考数据。
3. 一份面向合作者的指导视频（.mp4格式），该视频详细演示了如何访问可达性网页地图、如何开展LACO-Wiki验证，以及如何在实时电子表格中访问并记录评论内容。
4. 一份完整的验证电子表格（附带评论），以.pdf格式存储。
5. 一份补充表格文件（.pdf格式），其中列明了城市中心边界的源文件、官方本地参考数据详情，以及本次分析的13座城市的更多特征信息。
此外，请访问以下链接，获取托管本次验证工作所用的各城市可达性网页地图的GitHub仓库。