Share Email Print
cover

Proceedings Paper

Simulating spatial distribution and varying patterns of population in Urumqi, China
Author(s): Xuegang Chen; Zhaoping Yang; Yuhu Zhang; Qingsan Shi
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

Taking Urumqi as a case, a simulation of urban population spatial distribution is proposed based on urban land use and population statistical data using GIS, and population spatial distribution patterns are analyzed by the raster population surface. As a result, generating raster population spatial distribution surface is more accurate and natural than the traditional choropleth map of population density in Urumqi. Concerning the population spatial distribution of Urumqi, the population density declines from south to north and the population distribution mainly presents "T-type", the population distribution presents polycentric agglomeration and the population distribution of the districts shows different features. The population density varies significantly with the increase of the distance from CBD. Finally, this paper finds that the development history of districts, terrain and traffic road are main factors influencing Urumqi's population distribution. This paper tries to provide more accurate data of population distribution for the plan and management of urban land, traffic and public facilities in order to enrich the researches of urban population distribution.

Paper Details

Date Published: 14 November 2007
PDF: 7 pages
Proc. SPIE 6790, MIPPR 2007: Remote Sensing and GIS Data Processing and Applications; and Innovative Multispectral Technology and Applications, 67900A (14 November 2007); doi: 10.1117/12.740920
Show Author Affiliations
Xuegang Chen, Xinjiang Institute of Ecology and Geography (China)
Graduate School of the Chinese Academy of Sciences (China)
Zhaoping Yang, Xinjiang Institute of Ecology and Geography (China)
Yuhu Zhang, Xinjiang Univ. (China)
Qingsan Shi, Xinjiang Univ. (China)


Published in SPIE Proceedings Vol. 6790:
MIPPR 2007: Remote Sensing and GIS Data Processing and Applications; and Innovative Multispectral Technology and Applications

© SPIE. Terms of Use
Back to Top