Cellular automata (CA) are an effective means of urban growth simulation. Moreover, the development of a planning support system associated with the theory of artificial intelligence has recently become a new global challenge. In this paper, we investigate a geo-simulation model using CA based on Geographic information system (GIS) for visualizing land use patterns in urban partitions. Most recent simulation models using CA have been developed in regular grid nets or networks, where adjacent grids or networks in urban space are easily addressed. Our project explores how to utilize an irregular polygon data set in a GIS database in order to deal with spatial micro simulation. A new concept in this project is to take into account the effects of urban planning, such as land use zoning and street networks, at the level of parcels and blocks in urban space. Adjacent irregular parcels on both sides of a street are intended targets in the simulation. In this paper, a method of simulating land use patterns in urban space after implementation of land readjustment projects is discussed.
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