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  • 标题:The Study on Extended Cellular Automata Based on Relational Database and the Spatio-temporal Simulation
  • 本地全文:下载
  • 作者:Ping LUO ; Qingyun DU ; Sufang HE
  • 期刊名称:ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
  • 印刷版ISSN:2194-9042
  • 电子版ISSN:2194-9050
  • 出版年度:2002
  • 卷号:XXXIV Part 2
  • 页码:317-322
  • 出版社:Copernicus Publications
  • 摘要:This paper present a development of the extended Cellular Automata (CA), based on relational database (RDB), to model dynamic interactions among spatial objects. The integration of Geographical Information System (GIS) and CA has the great advantage of simulating geographical process. But standard CA has some restriction in cellular shape and neighbourhood and neighbour rules, which restrict the CA's ability to simulate complex real world. This paper discuss cell's spatial relation based on spatial object's geometrical and non-geometrical characteristic, and extend cell's neighbour definition, and consider cell's neighbour lies in the forms of not only spatial adjacency but also attribute correlation. Then this paper put forward that cell's spatial relation between two different cells can be divided three type including spatial adjacency, neighbourhood and complicated separation. It is impossible to settle CA's restriction completely based on traditional idea, RDB-based CA is an academic experiment, in which some fields are design to describe the essential information needed to define and select cell's neighbour. The culture innovation diffusion system has multiplicate forms of space diffusion and inherited character, the RDB-based CA is capable of simulating more effectively. Finally this paper makes a case study on fashionable dress's diffusion, and acquired satisfied experimental result. Compared to the original CA, the RDB-based CA is a more natural and efficient representation of human knowledge over space, and is an effective tool in simulating complex system with multiplicate forms of spatial diffusion
  • 关键词:Spatial relationship; Cellular automata; Relational database; Culture diffusion; Spatio-temporal simulation
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