DocumentCode
1997120
Title
Coordination evaluation between land use and regional development based on PCA_TOPSIS
Author
Li, Chaoqi ; Jin, Xiaobin ; Liu, Yue ; Zhou, Yinkang
Author_Institution
Sch. of Geographic & Oceanogr. Sci., Nanjing Univ., Nanjing, China
fYear
2010
fDate
18-20 June 2010
Firstpage
1
Lastpage
4
Abstract
Land use is the mirror of the society, there is corresponding relation between land use structure and social-economic structure in the certain period. The paper applied principal component analysis (PCA) and technique for order preference by similarity to ideal solution (TOPSIS) method to evaluate the coordination between land use and regional development. Firstly, the index system of coordination evaluation between land use and regional development was setup based on the concept of land comprehensive carrying capacity. Secondly, the ideas and research methods of PCA_TOPSIS method was described. Finally, the combinatorial method was put forward to evaluate the coordination between land use and regional development in Longmen County as an example. The results indicate the coordination had maintained a good momentum of development from 1996 to 2006, and the economic carrying capacity is the primary factor affecting the coordination.
Keywords
combinatorial mathematics; geographic information systems; land use planning; principal component analysis; regional planning; socio-economic effects; Longmen County; PCA_TOPSIS; combinatorial method; coordination evaluation; economic carrying capacity; index system; land comprehensive carrying capacity; land use; principal component analysis; regional development; social-economic structure; technique for order preference by similarity to ideal solution; Appraisal; Economic indicators; Eigenvalues and eigenfunctions; Indexes; Periodic structures; Principal component analysis; PCA; TOPSIS; land resources; regional development;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoinformatics, 2010 18th International Conference on
Conference_Location
Beijing
Print_ISBN
978-1-4244-7301-4
Type
conf
DOI
10.1109/GEOINFORMATICS.2010.5567764
Filename
5567764
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