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  4. Vol 7, Issue 1, 2024

Integrated multi-scale and multi-factor regional similarity measurement method

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DOI: 10.23977/geors.2024.070112 | Downloads: 6 | Views: 626

Author(s)

Baoliang Miao 1, Qingyun Liu 1, Xueying Hu 2

Affiliation(s)

1 Institute of Geographical Spatial Information, Information Engineering University, Zhengzhou, 450001, China
2 Department of Computer Technology, Hebei Vocational University of Industry and Technology, Shijiazhuang, 050091, China

Corresponding Author

Baoliang Miao

ABSTRACT

Regional similarity measurement is an important and complex issue. Current research on regional similarity mostly focuses on extracting a single element for comparative analysis at a single scale, and there is relatively little research on the differences in spatial distribution characteristics of regional elements. Based on this, we propose a comprehensive and integrated multi-scale and multi element regional similarity measurement method. Firstly, 12 geographical elements within the region were selected for similarity analysis between regions, and based on their characteristics, the elements were divided into 6 large-scale elements and 6 small-scale elements; Secondly, based on spatial autocorrelation coefficient, Pearson correlation coefficient, Analytic Hierarchy Process (AHP), and mean method, the similarity of 12 elements between regions is measured; Finally, a comprehensive evaluation model for multi factor similarity was designed based on AHP, mean method, and Pareto Principle to calculate the overall similarity of regions. At the same time, one benchmark region and eight compare regions were selected for regional similarity calculation. The results showed that the proposed method combines multi-scale and multi element description information of geographical features, which can provide new ideas and methodological guidance for improving the accuracy and reliability of regional similarity analysis.

KEYWORDS

Multi-scale, Multi-factor, Regional similarity, Comprehensive integration, Geographic features

CITE THIS PAPER

Baoliang Miao, Qingyun Liu, Xueying Hu, Integrated multi-scale and multi-factor regional similarity measurement method. Geoscience and Remote Sensing (2024) Vol. 7: 99-109. DOI: http://dx.doi.org/10.23977/geors.2024.070112.

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