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巴西首都城市公园的空间数据收集和资格化方法:创新的路线图
Anne Dorothée Slovic1, Claudio Kanai2, Denise Marques Sales3
1School of Public Health, University of São Paulo, São Paulo, Brazil.
PloS one
|August 10, 2023
概括
城市公园数据的标准化方法对于健康研究至关重要. 这项研究开发了一种协议,用于收集,验证和协调巴西城市的空间公园数据,提高数据可靠性.
科学领域:
- 城市规划和公共卫生
- 地理信息系统 (GIS) 和空间数据分析
- 环境科学与可持续发展
背景情况:
- 城市公园对于公共卫生和环境质量至关重要.
- 获取可靠和可比的城市公园数据是一个重大挑战,特别是在拉丁美洲.
- 标准化数据收集方法对于研究和城市管理至关重要.
研究的目的:
- 开发和实施一种系统化的方法来访问,收集,验证和协调巴西首都的城市公园空间数据.
- 为了比较不同数据源 (官方,谷歌地图,OpenStreetMap) 在城市公园绘图方面的有效性.
- 为拉丁美洲城市健康 (SALURBAL) 项目创建一个全面可靠的城市公园数据集.
主要方法:
- 使用官方和非官方数据源设计了一个研究协议,将谷歌地图 (GMaps) 点和OpenStreetMap (OSM) 多边形结合起来.
- 数据经过验证和协调过程.
- 为了评估官方数据和GMaps-OSM数据之间的区域一致性,使用了类内相关系数 (ICC).
主要成果:
- 总共有430个城市公园被确定并协调在巴西首都.
- 官方数据显示有302个公园,而GMaps-OSM提供了128个公园.
- 与谷歌地图数据相比,OpenStreetMap数据与官方数据的一致性更好.
结论:
- 强大的城市公园数据管理方法对于了解绿色空间对健康的影响至关重要.
- 标准化和验证的空间公园数据对于有效的城市规划和政策制定至关重要.
- 开发的协议为其他地区的类似研究提供了有价值的框架.
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