A study on social economic statistic data spatial distribution in land sustainable use assessment

Kaiwen Zhong; Jingliang Li; Xiaodong Zhang

doi:10.1117/12.713159

28 October 2006 A study on social economic statistic data spatial distribution in land sustainable use assessment

Kaiwen Zhong, Jingliang Li, Xiaodong Zhang

Proceedings Volume 6421, Geoinformatics 2006: Geospatial Information Technology; 64211U (2006) https://doi.org/10.1117/12.713159
Event: Geoinformatics 2006: GNSS and Integrated Geospatial Applications, 2006, Wuhan, China

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.

Citation Download Citation

Kaiwen Zhong, Jingliang Li, and Xiaodong Zhang "A study on social economic statistic data spatial distribution in land sustainable use assessment", Proc. SPIE 6421, Geoinformatics 2006: Geospatial Information Technology, 64211U (28 October 2006); https://doi.org/10.1117/12.713159

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