Land use change simulation method and system

Abstract

The invention discloses a land use change simulation method and system based on a partitioned CLUE-S model. The method comprises the following steps: obtaining driving factors of land use change and three-phase land use status data; The driving factors of the land use change are analyzed and processed by hot spots, and after the analysis and processing, the spatial partition is carried out to obtain the spatial partition result; carrying out data classification and processing on the three-phase land use status data, uniformly processing the spatial resolution after the data classification andprocessing, and obtaining the three-phase land use status data with unified spatial resolution; according to the driving factors of the land use change, the land use change simulation is carried out according to the classified land use status data of three periods with unified spatial zoning results and spatial resolution, and the simulation results are obtained. In the implementation of the invention, the regional difference of land use in space can be reflected, the applicability of the research area with obvious regional difference and the precision of the simulation can be realized.

Description

technical field [0001] The present invention relates to the technical field of land use change simulation, in particular to a land use change simulation method and system based on a zonal CLUE-S model. Background technique [0002] The research content of Land Use / Cover Change (LUCC) includes many aspects such as the process of land use and land cover change, the driving mechanism, and the impact of resources, ecology and environmental effects. Land use change simulation is one of the core contents of LUCC; in recent years, large-scale land use change simulation has received more attention, how to consider regional spatial differences and improve simulation quality has become a technology that needs to be considered in the process of large-scale simulation question. [0003] According to recent studies on the driving force, structure, and model of land use change by scholars, it is found that due to the influence of location conditions, natural conditions, or administrative...

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Problems solved by technology

[0004] The CLUE-S model generally includes two aspects: top-down macro control and bottom-up micro rules; however, under the operating mechanism of this CLUE-S model, less consideration is given to spatial differences on the regional scale. From the perspective of its simulation process, the CLUE-S model focuses on simulating land use change from a macro perspective, and believes that the study area is homogeneous, which is consistent with the objective spatial differences in natural and human factors in geographical areas. Paradoxically, the impact of driving factors on land use change in different spatial divisions is different, and using a unified driving force regression equation to drive the process of land use change with spatial differences reduces the accuracy of the simulation; geographical weighting The regression (Geographically Weighted Regression, GWR) model allows local parameters to be used for function fitting. Using the GWR model to integrate land use suitability equations with different regional characteristics can make the model better solve the problem of spatial heterogeneity of driving factors; On the basis of some land use change simulation models, the concept of spatial partition is introduced to apply to the simulation of regions with macroscopic spatial partition differences

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