Method for simulating urban land use change

Abstract

A method for simulating urban land use change merges an idea of dynamic neighborhood into a cellular automation and a Monte-Carlo model and regulates a range of local neighborhood according to different cell state distribution and by a Monte-Carlo method, so that the problems of spatial-dimension uncertainty and time-dimension randomness of urban land use change are solved, and simulation of the urban land use change is implemented. The method includes: acquiring and preprocessing data; determining cell size, cell state and iteration time according to a classification chart, and using the Monte-Carlo model to determine the range of dynamic neighborhood; establishing a land use change simulation system based on the Monte-Carlo model and the cellular automation model; using the land use change simulation system to simulate and predict by the Monte-Carlo method and the cellular automaton method; and analyzing a land use structure based on simulation results. By the method, the problem of uncertainty occurring in simulation of urban land use change is solved, and simulation effect and precision are improved.

Description

technical field [0001] The invention relates to a method for simulating urban land use change. Mainly use the idea of ​​dynamic neighborhood, combine Monte Carlo method with cellular automata to realize the simulation of urban land use change, so as to provide scientific reference materials and decision-making basis for urban land resource planning management and sustainable development. in the field of earth sciences. Background technique [0002] Land change is a significant manifestation of global environmental change. With the deepening and development of global environmental change research, land change has attracted the attention and attention of many scholars, and has become an important scientific topic in the 21st century. As my country's population, resource and environmental problems become more and more prominent, the study of urban land use change has become an important research content in the sustainable development of cities. Strengthening the simulation of...

AI Technical Summary

Problems solved by technology

[0004] Based on the research status at home and abroad, the current simulation methods for urban land use change are mainly divided into two categories: (1) Mathematical statistics methods: such as Markov model, regression analysis model, statistical model, etc. These methods regard the land change process as random Transformation process, lack of consideration of spatial correlation of urban land use change

(2) Intelligent evolution methods: such as cellular automata, artificial neural network, genetic algorithm and support vector machine, etc. This type of model is based on the system simulation of the land use change process, but the calculation process is complex and difficult. grasp the shortcomings

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