Research On The Cellular Automata Based On Geographic Feature And Urban Land Use Evolvement

Cellular automata show thoroughly the essence of complexity science that complicated construction comes from the interaction of the simple sub-system, so cellular automata is fit to study geographic system with spatial-temporal feature very much. But cellular automata did not originate the study of geographical system; its spatial concept has the more extensive meaning because it is a idealist model based on geometry feature and symmetrical spatial medium. But the geographical system has some typical characteristics including non-symmetrical space, geometry attribute, non-geometry attribute, etc. As a result, the ability of cellular automata of simulating complicated geographical process is limited relatively. In order to simulate geographical process effectively, standard cellular automata must be extended, some scholar did a lot of meaningful academic trial. These researches promoted the ability of cellular automata of simulating geographic process, but these expanding on cellular automata model were based on geometry feature, and did nothing but working out partial problems of simulating geographical system truly. At first the thesis analyzes and expounds expressive degree of cellular automata model to the concept of classical geographical process analyzing based on basic theory of classical geographical process analyzing, and finds out the limiting essence of cellular automata simulating geographical process; In succession the thesis puts forward the conceptual model of cellular automata based on geographical feature (GeoFeature-CA), and analyzes theoretically the ability of GeoFeature-CA in settling the limitation of standard cellular automata. Because urban land use evolvement is a important field in geography studying, the thesis selects it as demonstrative studying object of GeoFeature-CA model, and constructs simulative model of urban land use evolvement (GFCA-Urban), and take Shenzhen special area as an example to experience applicative study. Finally, the thesis draws a series of studying conclusions. The main contents and innovations of the thesis are as follows:1 The mechanism of simulating geography process of cellular automata The expressive essence of both cellular automata and classical geography process studying model is space, grads, flow and spatial relation. Cellular automata model express the concept of geographic space by cell, state, cellular space, etc. Cellular space has similar meaning with geographic space concept based on geometry, and cellular state is the only geographic variant. Cellular automata represent the concept of geographic grads by the concept of neighbor. The essence of both the rule of neighbor and geographic grads is selecting object of spatial interactions, their difference is that the rule of neighbor is a kind ofselective way based on geometry feature and geographic grads is a kind of selective way based on both geometry feature and non-geometry feature. Cellular Automata model express the concept of geographic flow effectively by local evolve rule of cellular state, and the direction of cellular flow depends on neighbor rule, and the strength of cellular flow depends on the distance between cells strongly, it is similar with the attenuation of strength of spatial interaction with distance. It must be noticed that there is discrepancy between cellular flow and geographic flow. The speed of cellular flow is symmetrical, and isn't limited by cellular spatial position, and just is relative with the standard of dividing space and time. Moreover the way of combination of cellular flow is complicated very much; theoretically there always is flow between two cells as long as there is enough time. The spatial relation of cellular automata is expressed mainly by framework and figure of cell that hides and includes spatial relation of both geometry and non-geometry. The framework and figure of cell express the absolute position of cellular space, relative position, distance, direction and topologic relation by geometry feature, and express the spatial distributing and comb...