Space planning scene simulation method and system

Abstract

The invention provides a space planning scene simulation method and system. The method comprises the following steps: S1, preprocessing construction land data of a to-be-simulated prediction area; s2,determining influence factors of construction land expansion, and classifying the influence factors; s3, performing spatial quantization processing on the determined influence factors; s4, constructing a training sample data set which is used for carrying out training learning of a simulation model on various models; s5, comparing and evaluating training results; s6, predicting the future land scale, wherein the future land scale is used for obtaining the total growth scale of the construction land in the predicted target year; and S7, obtaining construction land expansion simulation resultsin different scenes in the future. The system corresponding to the method comprises a data input module, a data processing module, a parameter setting module, a land scale prediction module and a result generation module. According to the method, influence factors can be comprehensively considered, simulation deviation is avoided, construction land expansion prediction is more accurate, and support is provided for urban construction; meanwhile, the working intensity of planning workers is reduced.

Description

technical field [0001] The invention belongs to the technical field of geographic information simulation, and in particular relates to a spatial planning scenario simulation method and system. Background technique [0002] Due to the limitations of data information and the limited information processing efficiency of the human brain, traditional spatial planning work stops at empirical and limited spatial planning scenario analysis. There is still a certain gap between this simple situational analysis and the spatial development under the complex effects of multiple factors in the real world. [0003] The development of information technology has opened the prelude to the entry of human beings into the space age and information society. Spatial planners began to apply spatial econometric models to urban development research. Among them, the system dynamics model is widely used in the simulation research of the dynamic evolution of urban space due to its characteristics of ...

AI Technical Summary

Problems solved by technology

[0005] At present, CA is also under development, and there are still some shortcomings, such as many uncertainties in determining the structure of the model, the variables used in the model, the parameter values ​​​​of the model, and the prediction of future scenarios

Although its technical route is relatively mature, it is still limited in the application process of urban planning due to technical barriers

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