Spatial Clustering Features
Spatial Clustering Features is a spatial feature engineering method that identifies and represents inherent groupings of geographic entities based on proximity and attribute similarity to enhance spatial pattern analysis in geographic data science.
48
Publications
2.3K
Citations
213
Authors
125
Institutions
Publications per year
2017–2026
21
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125

Ghent University
Ghent, Belgium
2 h-index
5 publications
872 citations

Pennsylvania State University
State College, United States
2 h-index
6 publications
81 citations
Ministry of Natural Resources
Beijing, China
2 h-index
5 publications
820 citations
Institute of Geographic Sciences and Natural Resources Research
Beijing, China
2 h-index
8 publications
259 citations

Chinese Academy of Sciences
Beijing, China
2 h-index
7 publications
106 citations
Cardiff University
Cardiff, United Kingdom
1 h-index
3 publications
57 citations
University of Minnesota System
Minneapolis, United States
1 h-index
2 publications
62 citations

Zhejiang University of Technology
Hangzhou, China
1 h-index
4 publications
100 citations
1–8 of 125
ApJ · 3 publications · 85 citations
3
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2 publications · 53 citations
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1 publications · 19 citations
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1 publications · 71 citations
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1 publications · 15 citations
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