Dynamic zoning method for regional ecologic system service functions (SIZES)

Abstract

The invention aims to provide a zoning method with quantification in an overall process for intelligently recognizing zoning boundaries of ecologic system service functions, namely a dynamic zoning method for the ecologic system service functions (SIZES), which mainly comprises the following steps: S1, acquiring characterization index data of multisource ecologic system service functions; S2, converting the characterization index data of the ecologic system service functions into a 1km raster data format; S3, establishing a layer type characterization index system model of the ecologic system service functions; S4, generating a sequence matrix of the ecologic system service functions by a factor analysis model embedded in the SIZES; S5, extracting core ecologic system service functions by a principal component estimation method embedded in the SIZES; S6, recognizing the zoning boundaries of the ecologic system service functions by a space fuzzy clustering model embedded in the SIZES; and S7, carrying out cartographic generalization on the zoning boundaries of the ecologic system service functions, and outputting a two-dimensional or three-dimensional diagram of a uniformity unit of the ecologic system service functions.

Description

technical field The invention relates to the field of information fusion of ecosystem service functions and the field of resource and ecosystem management, in particular to a method for dynamic zoning of ecosystem service functions. Background technique Ecosystem service functional zoning is an important means to understand the spatial differentiation characteristics of regional ecosystem service functions. Although studies on ecological regionalization and ecological function regionalization have been carried out, how many regionalization results are static outputs on the regional scale; Characteristic zoning or natural zoning based on the degree of dissimilarity; on the research scale, most studies are carried out on the regional scale; in terms of data source acquisition, the data source is relatively single, and there are uncertainties in the fusion method of data at different scales; In terms of research methods, a combination of qualitative and quantitative methods is...

AI Technical Summary

Problems solved by technology

However, this method does not realize the intelligent identification of the whole process of ecosystem service functional zoning boundaries

Therefore, traditional ecosystem service function data processing, fusion methods, and zoning methods can no longer meet the research needs, especially the research on how to automatically output 2D and 3D views of ecosystem service function consistency zoning units, and realize dynamic zoning. It is difficult for existing ecosystem service functional zoning methods to achieve the above objectives

Images