Intelligent method and intelligent integrated system for village-town area land use planning

Abstract

The invention discloses an intelligent method and an intelligent integrated system for village-town area land use planning. The method comprises the following steps: predicting the total area of construction land through a trend extrapolation method based on a binomial coefficient weight; simulating the relationship between the area of main construction land and influence factors over the years through an allometric growth model, and predicting the quantity of main construction land; combining the construction land total area prediction result and the main construction land structure prediction result to get a final construction land quantity prediction result; and combining the construction land quantity prediction result and an optimized CLUE-S model to get a land use spatial layout optimization result. The system comprises a driving factor selecting module, a Logistic regression parameter setting module, a transformation parameter setting module, a land demand setting module, and a layout optimizing module. Through the method and the system, the quantity and spatial layout of construction land can be predicted reasonably, the efficiency of land use planning at the village and town level is improved, and the land use planning work is made intelligent, efficient and closer to the actual situation.

Description

technical field [0001] The invention relates to the technical field of land use planning, in particular to an intelligent method and an intelligent integrated system for land use planning in villages and towns. Background technique [0002] Land use planning in villages and towns is an important means to realize land use control and meet the requirements of refined land management. At present, the research on land use planning technology at the village and town level is relatively weak, and the existing land use planning at the township level mostly adopts traditional land use planning methods. That is to say, relying on the subjective operation of planning experts has the disadvantages of heavy workload and strong subjectivity. [0003] In recent years, the method of combining land use quantity prediction with spatial layout optimization has been introduced into land use planning. These quantitative forecasting methods include regression analysis forecasting models, Marko...

AI Technical Summary

Problems solved by technology

The model excavates the causal relationship existing in land use space, uses binomial Logistic regression to explore the law between land use and spatial driving factors, and then realizes the optimization of spatial layout. The selection of land use driving factors is relatively flexible, but the model method has no specific At the same time, in the binomial Logistic regression process, different driving factors have different dimensions and dimensional units. There is a problem of incomparability between driving factors, which will affect the obtained land use and spatial driving factors. accuracy of relationship

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