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Proceedings Paper

A study on social economic statistic data spatial distribution in land sustainable use assessment
Author(s): Kaiwen Zhong; Jingliang Li; Xiaodong Zhang
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Paper Abstract

A study on Spatialization of Social Economic Statistic Data has a high scientific value for the establishment of land sustainable use assessment model. After summarizing the existent methods of social economic statistic data spatialization and analyzing the GDP spatialization, the author proposes a new spatialization method for GDP. With remote sensing and GIS technique supported, such method is based on the land use types, integrated with spatial method of GDP data with area weightiness and counter-distance weighted method. Finally, based on the spatialization method for GDP mentioned above, the GDP data of Shaoguan city (Guangdong Province, China) was spatialized, and a good effect was obtained. The method presented in this paper can reflect the situation of economic distribution very well. This method of spatialization of social economic statistic data has an important practically meaning.

Paper Details

Date Published: 28 October 2006
PDF: 8 pages
Proc. SPIE 6421, Geoinformatics 2006: Geospatial Information Technology, 64211U (28 October 2006); doi: 10.1117/12.713159
Show Author Affiliations
Kaiwen Zhong, Guangzhou Institute of Geography (China)
Jingliang Li, Wuhan Univ. (China)
Xiaodong Zhang, Wuhan Univ. (China)

Published in SPIE Proceedings Vol. 6421:
Geoinformatics 2006: Geospatial Information Technology
Huayi Wu; Qing Zhu, Editor(s)

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