A vector-based Cellular Automata model for simulating urban land use change

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• 作者：Yi Lu (1)
  Min Cao (1)
  Lei Zhang (1) (2)
  
  1. School of Geographic Science ; Nanjing Normal University ; Nanjing ; 210023 ; China
  2. Jiangsu Administration of Surveying ; Mapping and Geoinformation ; Nanjing ; 210013 ; China
  
• 关键词：vector ; based Cellular Automata ; land use change ; transition rule ; spatial accuracy ; Qidong City
• 刊名：Chinese Geographical Science
• 出版年：2015
• 出版时间：February 2015
• 年：2015
• 卷：25
• 期：1
• 页码：74-84
• 全文大小：1,830 KB
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• 刊物主题：Geography (general);
• 出版者：Springer Berlin Heidelberg
• ISSN：1993-064X

文摘

Cellular Automata (CA) is widely used for the simulation of land use changes. This study applied a vector-based CA model to simulate land use change in order to minimize or eliminate the scale sensitivity in traditional raster-based CA model. The cells of vector-based CA model are presented according to the shapes and attributes of geographic entities, and the transition rules of vector-based CA model are improved by taking spatial variables of the study area into consideration. The vector-based CA model is applied to simulate land use changes in downtown of Qidong City, Jiangsu Province, China and its validation is confirmed by the methods of visual assessment and spatial accuracy. The simulation result of vector-based CA model reveals that nearly 75% of newly increased urban cells are located in the northwest and southwest parts of the study area from 2002 to 2007, which is in consistent with real land use map. In addition, the simulation results of the vector-based and raster-based CA models are compared to real land use data and their spatial accuracies are found to be 84.0% and 81.9%, respectively. In conclusion, results from this study indicate that the vector-based CA model is a practical and applicable method for the simulation of urbanization processes.