中国地理科学 ›› 2015, Vol. 25 ›› Issue (1): 74-84.doi: 10.1007/s11769-014-0719-9

• 论文 • 上一篇    下一篇

A Vector-based Cellular Automata Model for Simulating Urban Land Use Change

LU Yi1, CAO Min1, ZHANG Lei1,2   

  1. 1. School of Geographic Science, Nanjing Normal University, Nanjing 210023, China;
    2. Jiangsu Administration of Surveying, Mapping and Geoinformation, Nanjing 210013, China
  • 收稿日期:2013-09-13 修回日期:2013-12-16 出版日期:2014-11-27 发布日期:2015-01-20
  • 通讯作者: CAO Min. E-mail: caomin@njnu.edu.cn E-mail:caomin@njnu.edu.cn
  • 基金资助:

    Under the auspices of National Natural Science Foundation of China (No. 41101349), Surveying and Mapping Scientific Research Projects of Jiangsu Province (No. JSCHKY201304), Program of Natural Science Research of Jiangsu Higher Education Institutions of China (No. 13KJB420003), Priority Academic Program Development of Jiangsu Higher Education Institutions

A Vector-based Cellular Automata Model for Simulating Urban Land Use Change

LU Yi1, CAO Min1, ZHANG Lei1,2   

  1. 1. School of Geographic Science, Nanjing Normal University, Nanjing 210023, China;
    2. Jiangsu Administration of Surveying, Mapping and Geoinformation, Nanjing 210013, China
  • Received:2013-09-13 Revised:2013-12-16 Online:2014-11-27 Published:2015-01-20
  • Contact: CAO Min. E-mail: caomin@njnu.edu.cn E-mail:caomin@njnu.edu.cn
  • Supported by:

    Under the auspices of National Natural Science Foundation of China (No. 41101349), Surveying and Mapping Scientific Research Projects of Jiangsu Province (No. JSCHKY201304), Program of Natural Science Research of Jiangsu Higher Education Institutions of China (No. 13KJB420003), Priority Academic Program Development of Jiangsu Higher Education Institutions

摘要:

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.

关键词: vector-based Cellular Automata (CA), land use change, transition rule, spatial accuracy, Qidong City

Abstract:

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.

Key words: vector-based Cellular Automata (CA), land use change, transition rule, spatial accuracy, Qidong City