Multi-level vector cellular automaton modeling method for land use change

Abstract

The invention discloses a multi-level vector cellular automaton modeling method for land use change. The method comprises the steps of constructing a vector cellular unit system of a multi-level structure, establishing a transmission mechanism between vector cellular unit levels, and determining a multi-level vector cellular conversion rule and a conversion type of a vector cellular unit. Irregular administrative divisions and land parcels are used as multi-scale space units of cells; by establishing a vector cellular unit system with remarkable multi-level nested characteristics, a multi-level space conduction effect acts on vector cells of different levels, and a multi-level vector cellular automaton suitable for a conduction action mechanism is constructed. By adopting the vector cellular automaton model provided by the invention, analysis and simulation of urban land utilization changes are realized, a scientific decision basis is provided for urban land resource management and sustainable development, and whole-process and all-around linkage control of a land conversion model is realized.

Description

technical field [0001] The invention relates to the technical field of urban land use change simulation, in particular to a multi-level vector cellular automata modeling method for land use change. Background technique [0002] Urban development is an evolutionary process of a complex system, and the change of urban land use structure is the most intuitive manifestation of urban development. With the rapid development of urbanization and human activities, the spatial pattern of land use is in the process of dynamic change and development, and the reconstruction and adjustment of urban space are facing great challenges. Strengthening the simulation of urban land use change is conducive to optimizing the structure and mode of urban land use and improving the sustainable use and development of urban land resources. scientific significance. [0003] The existing land use change models have established cellular automata models from different perspectives, mainly using regular g...

AI Technical Summary

Problems solved by technology

[0005] Existing studies on cellular automata models for urban land change simulation mainly use regular raster data or regular grids to express urban space, although some of them involve urban space expression of irregular vector entities, such as parcels of land, population Census units, land use maps, plots, functional areas, administrative divisions, etc., are all divided in the same dimension on a single plane. Therefore, single-level land use space simulation cannot solve this cross-level transfer problem. Vector CA Model of Hierarchical Coupling

[0006] 2. Lack of transfer mechanism based on multi-level vector cell system

[0008] 3. Lack of methods for obtaining conversion rules for multi-level coordination

[0009] The construction of cellular neighborhood and the acquisition of conversion rules are the key to the cellular automata model. Since previous studies rarely involve the construction of cellular systems with hierarchical structures and nested levels, it is difficult to solve the problem of vectors under vertical and horizontal constraints. Cellular neighborhood construction, and then the establishment of layer-by-layer gradual and coordinated transfer of information between layers of cell conversion rules has not yet been explored

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