A synchronous calculation method for dynamic simulation of spatial growth and contribution degree of drive force factors

Abstract

The invention discloses a synchronous calculation method for that dynamic simulation of spatial growth and the contribution degree of driving force factor. The invention integrates the ability of thecellular automata model (CA) to simulate the spatio-temporal evolution process of the complex system and the advantage of the neural network (ANN) to accurately and intelligently calculate the land use distribution probability, and overcomes some inherent defects of the traditional cellular automata model in the simulation of the urban land use change through the integration of the advantages; Theinvention improves the traditional neural network (ANN) algorithm to enable it to accurately measure the importance of spatial variables, overcomes the black box mechanism of the traditional neural network algorithm, and can accurately and transparently identify and calculate the driving force factors affecting each land use; Compared with the traditional model, the method has many practical advantages, such as higher precision, suitable for multi-scale, lower data demand, fewer parameters, simple operation, fast speed and so on.

Description

technical field [0001] The invention relates to the technical field of geographic information science, in particular to a method and device for synchronously calculating the dynamic simulation of space growth and the contribution degree of driving force factors. Background technique [0002] The simulation of fine-grained land-use spatial growth changes has gradually attracted people's attention because it can provide detailed urban digital information to decision-makers and policy makers. Most of the previous methods focus on improving the method efficiency of urban interior simulation, but there is no mature method to explain the driving factors of the spatial growth change of fine land use. In fact, for urban planners, they are most concerned about how the internal structure of the city is formed and how they operate, so it is necessary to accurately and conveniently calculate the urban land use while performing urban land use simulation. Contribution of the driving forc...

AI Technical Summary

Problems solved by technology

Most of the previous methods focused on improving the method efficiency of urban interior simulation, but there is no mature method for how to explain the driving factors of the spatial growth change of fine land use.

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