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A Probability Mapping for Land Cover Change Prediction using CLUE Model  

Oh, Yun-Gyeong (Research Institute for Agriculture and Life Science, Seoul Nat'l Univ.)
Choi, Jin-Yong (Dept. of Landscape Architecture and Rural Systems Engineering and Research Institute for Agriculture and Life Science, Seoul Nat'l Univ.)
Bae, Seung-Jong (Seoul Nat'l Univ.)
Yoo, Seung-Hwan (Research Institute for Agriculture and Life Science, Seoul Nat'l Univ.)
Lee, Sang-Hyun (Graduate School, Seoul Nat'l Univ.)
Publication Information
Journal of Korean Society of Rural Planning / v.16, no.2, 2010 , pp. 47-55 More about this Journal
Abstract
Land cover and land use change data are important in many studies including climate change and hydrological studies. Although the various theories and models have been developed, it is difficult to identify the driving factors of the land use change because land use change is related to policy options and natural and socio-economic conditions. This study is to attempt to simulate the land cover change using the CLUE model based on a statistical analysis of land-use change. CLUE model has dynamic modeling tools from the competition among land use change in between driving force and land use, so that this model depends on statistical relations between land use change and driving factors. In this study, Yongin, Icheon and Anseong were selected for the study areas, and binary logistic regression and factor analysis were performed verifying with ROC curve. Land cover probability map was also prepared to compare with the land cover data and higher probability areas are well matched with the present land cover demonstrating CLUE model applicability.
Keywords
Land Cover; Land Use Change; CLUE model; Binary Logistic Regression; Multiple Regression Analysis;
Citations & Related Records
Times Cited By KSCI : 5  (Citation Analysis)
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