Fig 1.
The location of Nanjing in China and Jiangsu. examined in this paper, in Jiangsu Province (blue), in Nanjing City (red), and on the right side is the District of Nanjing city. This map is drawn by the authors. This map was created using ArcGIS ® software by Esri, ©National Platform for Common Geospatial Information Services, ©USGS, ©Resource and Environment Science and Data Center, ©Baidu, ©OpenStreetMap and contributors, Creative Commons Attribution 4.0(CC BY 4.0).
Table 1.
Data source and description.
Table 2.
Descriptions of major explanatory variables.
Table 3.
Statistics of LST in each district.
Fig 2.
Spatial distribution of LST in Nanjing.
The Land surface temperature (LST)of Nanjing city and its districts, (a) Jianye; (b) Gulou; (c) Luhe; (d) Qixia; (e) Pukou; (f) Qinhuai; (g) Jiangning; (h) Xuanwu; (i) Yuhuatai; (j)Lishui;(k)Gaochun. This map is drawn by the authors. This map was created using ArcGIS ® software by Esri, ©National Platform for Common Geospatial Information Services, ©OpenStreetMap and contributors, Creative Commons Attribution 4.0(CC BY 4.0).
Fig 3.
Hot spot analysis of Land surface temperature (LST). (a) Jianye; (b) Gulou; (c) Luhe; (d) Qixia; (e) Pukou; (f) Qinhuai; (g) Jiangning; (h) Xuanwu; (i) Yuhuatai; (j) Lishui; (k) Gaochun. This map is drawn by the authors. This map was created using ArcGIS ® software by Esri,©National Platform for Common Geospatial Information Services, ©OpenStreetMap and contributors, Creative Commons Attribution 4.0(CC BY 4.0).
Fig 4.
Spatial distribution of impact factors.
Spatial distribution of impact factors. (a) Building date, open midrise (blue), Compare highrise (green), Spare lowrise (red),data source (http://ditu.amap.com); https://www.openstreetmap.org; (b) Kernel density of POI, data source (http://ditu.amap.com); (c) Line density of Road, data source (http://ditu.amap.com); (d) Urban Green Space(green), data source (http://www.resdc.cn/); (e) DEM, data source (http://www.gscloud.cn/). This map is drawn by the authors. This map was created using ArcGIS ® software by Esri,©National Platform for Common Geospatial Information Services, ©Resource and Environment Science and Data Center, ©Baidu, ©OpenStreetMap and contributors, Creative Commons Attribution 4.0(CC BY 4.0).
Table 4.
Statistics of buildings in each district.
Table 5.
POI statistics of each district.
Table 6.
Road statistics of each district.
Table 7.
Model index of GWR and MGWR.
Table 8.
Statistical description of MGWR coefficients.