GIS-based cellular automata models and researches on spatial complexity of man-land relationship
基于GIS的细胞自动机模型与人地关系的复杂性探讨

It is of significance to research into nonlinear relationships between human systems and physical environment in order to explore spatial complexity, but it is of difficulty to do so in the past because of lack of effective research means and methodologies. If we develop integrated models including cellular automata(CA)which are based on geographical information system (GIS), we will be able to solve many complex problems on man land relationship. We suggest that geographers should construct a kind of metasynthetical technical systems being composed of GIS as geographical databases, GIS based CA models, integrated regional dynamic models, and other related CA based models. For the sake of making the CA models based on GIS intelligent to certain extent, artificial neural networks, which can be used to distinguish and compare between the simulation patterns and digital maps concerned, and genetic algorithms, and even genetic programming, which can be used to design and train the weights of neural nets, should be adopted into the systems. Going a step further, the multiagent systems (MAS)and the postmodern mathematics of fractal and chaos, the latter of which take the form of softwares by being compiled into some programming, should be comprised in the systems. So geographers will have an artificially intellectualized meta synthetical systems consisting of a number of integrated models based on integrated models which make it easy and convenient to expore spatial complexity on man land relationship.