Abstract
The study of urban spatial structure is very important for understanding the relationship between people and urban infrastructure as well as urban planning . This paper selected the 2016-2019 NPP-VIIRS NTL data and POI data of Nanchang City to conduct a pixel-level correlation analysis of Nanchang urban districts and counties. Firstly, the NPP-VIIRS and POI datasets should be respectively preprocessed to synthesize NPP-VIIRS annual average dataset and the POI kernel density dataset. Secondly, these datasets were respectively subjected to logarithmic transformation. Finally, they were divided into administrative districts for linear regression analysis. Experimental results showed that the correlation coefficients between NPP-VIIRS NTL data and POIs data gradually decreased from urban to rural districts.
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