地理科学进展 ›› 2009, Vol. 28 ›› Issue (6): 833-838.doi: 10.11820/dlkxjz.2009.06.001

• 方法模型与应用 •    下一篇

地理系统模拟的CA模型理论探讨

周成虎| 欧 阳| 马廷| 覃彪   

  1. 中国科学院地理科学与资源研究所资源与环境信息系统国家重点实验室|北京100101
  • 出版日期:2009-11-25 发布日期:2009-11-25
  • 通讯作者: 周成虎(1964-),男,研究员,博士生导师,主要从事遥感和地理信息系统地应用基础研究。
  • 基金资助:

    国家自然科学基金重点项目(40830529)。

Theoretical Perspectives of CA-based Geographical System Modeling

ZHOU Chenghu, OU Yang, MA Ting, QIN Biao   

  1. State Key Laboratory of Resources and Environment Information System,
    Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China
  • Online:2009-11-25 Published:2009-11-25

摘要:

在系统认识和理解地理元胞自动机(CA)模型的基本性质基础上,重点从自然与人文综合的复杂地理系统模拟研究角度,对地理元胞模型所涉及的基本理论与方法问题进行了进一步的探讨。研究表明:从地理系统的模拟看,CA模型的研究和应用提供了一种从地理系统的微观出发、将自然与人文统一的地理系统模拟的新视角与新途径。在此基础上,提出了地理系统模拟的CA模型需要解决的三队基本关系和三个基本科学方法问题。

关键词: CA模型, 地理系统模拟, 三队基本关系

Abstract:

As a fundamental method, cellular automaton has found its unique function in complex geographical system which is characterized by the complicated interaction between natural sub-system and human sub-system. Although different equation-based models have achieved their brilliant successes, it is difficult to apply these models to simulate the whole processes embedded in the complicated geographical systems. Therefore it is ideal to integrate these CA with different equations. The article was aimed to probe into basic concepts and theories related CA model. The recent progresses and achievements were firstly reviewed in the second paragraph, and it is believed that CA is a very innovative method to deal with the complicated processes of natural-human system. Three basic relationships, which are key to develop a new Geo-CA model based on physical law and system evolution rules, are spatial structure of geographical system and configuration of automaton, macro-phenomena and micro-mechanism, and geo-system evolution rule and CA rules. It is necessary to make more efforts to study the formation expression of discrete geo-cellular, micro-mechanism based rules for complex geo-system, and parallel computation of Geo-CA models.

Key words: CA model, geographical system simulation, three basic relationships