Land Use Structure and GM Prediction in Chizhou City Based on Information Entropy

CHE Chen; HE Ruhai; REN Yini; LI Yanping

doi:10.3969/j.issn.1004-390X(s).2017.03.013

Volume 11 Issue 3

Jun. 2017

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Journal of Yunnan Agricultural University (Social Science) > 2017 > 11(3): 72-76. > DOI: 10.3969/j.issn.1004-390X(s).2017.03.013

CHE Chen, HE Ruhai, REN Yini, LI Yanping. Land Use Structure and GM Prediction in Chizhou City Based on Information Entropy[J]. Journal of Yunnan Agricultural University (Social Science), 2017, 11(3): 72-76. DOI: 10.3969/j.issn.1004-390X(s).2017.03.013

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Land Use Structure and GM Prediction in Chizhou City Based on Information Entropy

DOI: 10.3969/j.issn.1004-390X(s).2017.03.013

1.
chool of Economy and Management, Anhui Agricultural University, Hefei 230036, China
2.
College of Economics and Technology, Anhui Agricultural University, Hefei 230036, China

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Received Date: November 06, 2016
Revised Date: February 11, 2017
Published Date: June 09, 2017

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Based on entropy theory, this paper studies the variation of land use structure information entropy in Chizhou City from 2009 to 2015, discusses the types of land use affecting the values of information entropy, and predicts the information entropy, equilibrium degree and dominance degree from 2016 to 2020, using the GM(1,1) model of Grey System Theory. The results show that the land use types, including the urban village, industrial and mining land, traffic land and water project land, played important roles in affecting dynamic evolution of the entropy. The Urban village, industrial and mining land had significant correlation to the entropy. The land use structure information and balance in Chizhou City were increasing slightly. The overall results indicated that land use structure in Chizhou City becomes more and more balance.
- information entropy,
- land use structure,
- grey prediction,
- Chizhou City

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Land Use Structure and GM Prediction in Chizhou City Based on Information Entropy

DOI: 10.3969/j.issn.1004-390X(s).2017.03.013

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