基于改进CA的矿区土地利用空间结构演变预测

金属矿山 ›› 2007, Vol. 37 ›› Issue (10): 81-83+100.

基于改进CA的矿区土地利用空间结构演变预测

王艳，姚吉利，宋振柏

山东理工大学

出版日期:2007-10-15 发布日期:2012-02-28
基金资助:
* 国家社科基金项目（编号：06BJL036）；山东省自然科学基金项目（编号：Y2006E05）；山东理工大学科技基金项目（编号：2006KJM10）。

Forecast of Land Utilization Space Structural Evolution in Mine Area Based on Improved CA

Wang Yan，Yao Jili，Song Zhenbai

Shandong University of Science and Technology

Online:2007-10-15 Published:2012-02-28

摘要/Abstract

摘要： 利用矿区2002年、2006年两个年份的遥感影像，分析矿区土地利用空间结构，以此将土地利用类型分为无破坏、已破坏已复垦、已破坏待复垦、待破坏待复垦和其他类型5种类型。针对目前CA（Cellular Automata）存在的不足，提出一种基于空间动态数据挖掘和随机预测的矿区CA方法，对离散状态属性的预测和模拟建立了一种具有可操作性的细胞自动机预测方法，并运用该方法对某矿区2010年的土地利用空间结构进行了预测。实例表明此方法是有效可行的，并且该方法的结果可以为矿区土地利用规划提供准确、可靠的依据。

关键词: 细胞自动机（Cellular Automata, CA）, 转换规则, 随机预测, 矿区土地利用, 动态预测

Abstract: The land utilization space structure is based the remote sensing images of the mine area in 2002 and in 2006 and on this base, the land utilization space structures are classified into five types, namely, not destroyed, destroyed but reclaimed, destroyed and to be reclaimed, to be destroyed and reclaimed and other. In view of the deficiency in CA (cellular automata), a CA method for mine area that is based on space dynamic data mining and random forecast is proposed, thus establishing an operable CA forecast method for the forecast and simulation of discrete status attribute. It is used to forecast the land utilization space structure of a mine area in 2010. It is demonstrated by the real case that the method is both feasible and effective and its forecast results can be used as accurate and reliable data for the land use plan of mine area.

Key words: Cellular automata (CA), Conversion rule, Random forecast, Land utilization in mine area, Dynamic forecast

王艳, 姚吉利, 宋振柏. 基于改进CA的矿区土地利用空间结构演变预测[J]. 金属矿山, 2007, 37(10): 81-83+100.

WANG Yan, YAO Ji-Li, SONG Zhen-Bai. Forecast of Land Utilization Space Structural Evolution in Mine Area Based on Improved CA[J]. Metal Mine, 2007, 37(10): 81-83+100.

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