Fig 1.
Location of the study area (the map was prepared in ArcGIS 10.1 using political boundaries from the National Geomatics Center of China (http://www.ngcc.cn/ngcc/) and Digital Elevation Model from the U.S. Geological Survey (https://www.usgs.gov/)).
Table 1.
Evaluation index system of urban residential land use intensity.
Fig 2.
The provincial spatiotemporal pattern of urban residential land price (the map was prepared in ArcGIS 10.1 using political boundaries from the National Geomatics Center of China (http://www.ngcc.cn/ngcc/) and land price data from China urban land price dynamic monitoring network (http://www.landvalue.com.cn/)).
Fig 3.
The provincial spatiotemporal pattern of urban residential land use intensity (the map was prepared in ArcGIS 10.1 using political boundaries from the National Geomatics Center of China (http://www.ngcc.cn/ngcc/) and land use intensity data from relevant statistical yearbook).
Fig 4.
Quadrant map of the coordination relationship between urban residential land price and land use intensity (the map was prepared in Origin using reanalysis data of land price and land use intensity).
Table 2.
Coordination type of urban residential land price and land use intensity.
Fig 5.
The spatiotemporal pattern of coordination type of urban residential land price and land use intensity (the map was prepared in ArcGIS 10.1 using political boundaries from the National Geomatics Center of China (http://www.ngcc.cn/ngcc/).