Data underlying PhD thesis: GREEN HEALTH. Examining the role of green space characteristics and their proximity in green space health pathways

The research objective was to examine if the significant findings between green space, air pollution and health stem from unique green space characteristics or similar mechanisms. This dataset is a correlation matrix of 135 green space indicators gathered in GIS, covering 9 different green space characteristics (mean surrounding greenness (NDVI 0-1), sum surrounding greenness (NDVI 0-1), mean accessible greenness (NDVI 0-1), surrounding green space (m2), surrounding green corridors (m2), surrounding total green space (m2), accessible green space (m2), accessible green corridors (m2), accessible total green space (m2), in 15 distances from 100 to 1,500 m every 100 m.

本研究旨在探究：绿地、空气污染与健康之间的显著关联结果，究竟源自绿地的独有特征，还是相似的作用机制。本数据集为通过地理信息系统（Geographic Information System，GIS）采集的135项绿地指标的相关矩阵，涵盖9类不同的绿地特征，具体包括：周边平均绿地绿度（归一化植被指数（Normalized Difference Vegetation Index，NDVI）取值范围0-1）、周边总绿地绿度（NDVI 0-1）、周边可获取绿地绿度（NDVI 0-1）、周边绿地面积（平方米）、周边绿色廊道面积（平方米）、周边总绿地面积（平方米）、可获取绿地面积（平方米）、可获取绿色廊道面积（平方米）、可获取总绿地面积（平方米）；上述所有指标均以100米为步长，在100米至1500米的15个距离梯度下完成采集。