GIS Based Spatialization of Population Data in Meijiang River Basin

Abstract:

This paper used GIS spatial analysis and data processing technologies and multi-source data fusion technology to spatialize the population data of Meijiang river basin. Land use was selected as the index factor and the settlements as the indicative factor. Selected terrain, roads and rivers were the main influencing factors and were further classified into several sub-factors. During the simulation, we first calculated the weight indexes of sub-factors on the settlements distribution and then fused the indexes to calculate the weight indexes of the main factors. Second we calculated the weight indexes of settlements on the population distribution. Last we fused the weight indexes of the main factors and the weight indexes of settlements to obtain the population density indexes of whole region and then generated the 100m×100m resolution raster population density map.

• Periodical: Applied Mechanics and Materials (Volumes 295-298)
• Pages: 2378-2383
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.295-298.2378
• Online since: February 2013
• Authors: Xiang Gui Zeng, Ge Ying Lai*, Fa Zhao Yi, Ling Ling Zhang
• Keywords: Classification, GIS, Meijiang River Basin, Population, Spatialization

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