Coupling evaluation method for simulation precision of cellular automata of land use change

Abstract

The present invention discloses a coupling evaluation method for the simulation precision of the cellular automata of land use change. The method comprises: firstly using a remote sensing image to extract land use information; based on the cellular automata, simulating the land use change and calculating the Kappa coefficient and the Contagion index of the precision evaluation index; and using theentropy weight method to assign weights to the Kappa coefficient and the Contagion index, and constructing a coupling evaluation model for simulation precision based on the weights to more accuratelyevaluate the simulation precision of the land use change, so that comprehensive and objective analysis on the problem of the land use change can be implemented. According to the method disclosed by the present invention, for the problem of selecting the evaluation index of the simulation precision of the land use change, not only the more mainstream Kappa coefficient is used, but also the appropriate landscape index Contagion index is selected, so that a coupling evaluation model for the simulation precision is constructed; and compared with using a certain index alone, the model comprehensively considers the simulation precision of the cellular automata of land use change from two aspects of numerical errors and error spatial distribution.

Description

technical field [0001] The invention belongs to the technical field of simulation precision evaluation, and relates to a method for evaluating simulation precision of land use change, in particular to a coupling method for evaluating the simulation precision of land use change cellular automata by using Kappa coefficient and Contagion index. Background technique [0002] The spatial pattern of land use has undergone tremendous changes due to human activities, which has a great impact on human nature and social environment. Therefore, accurate grasp of land use information and change dynamics, simulation and prediction of land use change and its spatial evolution information, can provide a certain reference for urban decision makers to use and develop land resources rationally. [0003] In order to have a comprehensive understanding of land use change information, it is necessary to construct a theory and method suitable for the study of complex systems, and fully estimate th...

AI Technical Summary

Problems solved by technology

However, there are still some problems. The more mainstream Kappa coefficient is a coefficient based on probability events. Although it can provide accurate judgments in numerical values, it lacks the information reflected in the space of errors.

Selecting an appropriate landscape index can quantify the information of the spatial error distribution, but the current research only conducts quantitative analysis on the Kappa coefficient and some landscape indices, and lacks a coupled index evaluation system, so that the numerical error and the spatial error can be comprehensively analyzed. Consider the simulation accuracy of the model in two aspects

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