Key element extraction and spatial characterisation analysis of sponge cities based on Python
Reasonable planning and management of sponge cities are particularly important for improving the utilization of water resources and environmental adaptability of cities.Taking Chizhou City in Anhui Province as an example,the key elements of sponge city are captured by Python,and arcgis is used to carry out kernel density analysis and buffer analysis of the key elements.It is found that the distribution density of water bodies,schools,parks,residential areas and main roads is the highest in Guichi district,followed by Qingyang county,Dongzhi county and Shitai county.The concentration of key ele-ments in the urban space shows a common characteristic of underdeveloped areas.The results of the spatial characterisation reveal the distribution pattern of different elements in the urban space,which provides theoretical and practical support for the planning and construction of sponge cities of the same type.
Sponge cityPythonSpatial characteristicsUnderdeveloped area
万方数据
维普
