HONGHUA CAO et al: EVOLUTION MODEL OF URBAN LAND BASED ON CELLULAR AUTOMATA MODEL OF

Cellular automata model is an important method to simulate land use change. In the traditional land simulation method, the prediction model is constructed by focusing on analyzing the factors that influence the land use change, but it is less concerned about the model construction from the space angle of the change of land use types and their interaction. Based on the land use data of 1980~2000, in this paper we: i) use the Python language to combine the GDAL and Numpy class library to ii) realize the prototype development of cellular automata model of the competition of local land use, ii) simulate the change of land use in Shenzhen City. The model establishes the basic method for researching the coordinating action of different land types, and is able to be used for further research of the driving principles for land use change between land types.