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contributor authorCui Hao
contributor authorJiahua Zhang
contributor authorHongyuan Li
contributor authorFengmei Yao
contributor authorHuanchun Huang
contributor authorWeiqing Meng
date accessioned2017-05-08T22:10:01Z
date available2017-05-08T22:10:01Z
date copyrightSeptember 2015
date issued2015
identifier other36729506.pdf
identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/72692
description abstractLand-use change reflects the relationship between human activities and environmental processes over time and space. Modeling land-use change dynamics is of particular environmental, social, and economic importance at regional scales. This paper develops a new approach to model land-use changes by making use of multiple categories that incorporate socioeconomic and environmental factors with multinomial logistic models and Markov chains to quantify the impact of these variables on land-use change dynamics for the years 1990, 2000, and 2010. Spatial autocorrelation and colinearity tests were utilised to screen the most suitable independent variables before modeling. The multinomial logistic model was evaluated by means of a likelihood ratio test and pseudo
publisherAmerican Society of Civil Engineers
titleIntegration of Multinomial-Logistic and Markov-Chain Models to Derive Land-Use Change Dynamics
typeJournal Paper
journal volume141
journal issue3
journal titleJournal of Urban Planning and Development
identifier doi10.1061/(ASCE)UP.1943-5444.0000222
treeJournal of Urban Planning and Development:;2015:;Volume ( 141 ):;issue: 003
contenttypeFulltext


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