A raster-based spatial clustering method with robustness to spatial outliers.

ABSTRACT: Spatial clustering is an essential method for the comprehensive understanding of a region. Spatial clustering divides all spatial units into different clusters. The attributes of each cluster of the spatial units are similar, and simultaneously, they are as continuous as spatially possible. In spatial clustering, the handling of spatial outliers is important. It is necessary to improve spatial integration so that each cluster is connected as much as possible, while protecting spatial outliers can help avoid the excessive masking of attribute differences This paper proposes a new spatial clustering method for raster data robust to spatial outliers. The method employs a sliding window to scan the entire region to determine spatial outliers. Additionally, a mechanism based on the range and st

SUBMITTER: Wang H 

PROVIDER: S-EPMC10876529 | biostudies-literature | 2024 Feb

REPOSITORIES: biostudies-literature