Paper Info
Title
Spatial Distribution Estimates of the Urban Population Using DSM and DEM Data in China.
Abstract
Spatial distribution and population density are important parameters in studies on urban development, resource allocation, emergency management, and risk analysis. High-resolution height data can be used to estimate the total or spatial pattern of the urban population for small study areas, e.g., the downtown area of a city or a community. However, there has been no case of population estimation for large areas. This paper tries to estimate the urban population of prefectural cities in China using building height data. Building height in urban population settlement (Mdiffs) was first extracted using the digital surface model (DSM), digital elevation model (DEM), and land use data. Then, the relationships between the census-based urban population density (CPD) and the Mdiffs density (MDD) for different regions were regressed. Using these results, the urban population for prefectural cities of China was finally estimated. The results showed that a good linear correlation was found between Mdiffs and the census data in each type of region, as all the adjusted R-2 values were above 0.9 and all the models passed the significance test (95% confidence level). The ratio of the estimated population to the census population (PER) was between 0.7 and 1.3 for 76% of the cities in China. This is the first attempt to estimate the urban population using building height data for prefectural cities in China. This method produced reasonable results and can be effectively used for spatial distribution estimates of the urban population in large scale areas.
Year
DOI
Venue
2018
10.3390/ijgi7110435
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
Keywords
Field
DocType
digital elevation models (DEMs),digital surface models (DSMs),urban population estimation,China
Common spatial pattern,Population,Population density,Digital elevation model,Urban planning,Statistics,Geography,Census,Spatial distribution,Land use
Journal
Volume
Issue
ISSN
7
11
2220-9964
Citations 
PageRank 
References 
0
0.34
6
Authors
4
Name
Order
Citations
PageRank
Junlin Zhang193.17
Wei Xu2152.64
Lianjie Qin351.49
Yugang Tian432.79