Hierarchical Spatial Pattern Analysis
Hierarchical Spatial Pattern Analysis is a methodological framework within multi-scale pattern analysis that explicitly models spatial hierarchies by decomposing geographic phenomena into nested scales or levels, where each level represents a distinct spatial resolution or organizational stratum, thereby enabling the detection, representation, and interpretation of scale-dependent spatial structures and processes.
25
Publications
886
Citations
86
Authors
59
Institutions
Publications per year
2017–2026
8
Parents
25
1–5 of 25
86
1
h-index
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h-index
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h-index
1–5 of 86
59
University of Chinese Academy of Sciences
Beijing, China
3 h-index
5 publications
77 citations

Shenzhen University
Shenzhen, China
1 h-index
1 publications
77 citations
Marine Scotland
Edinburgh, United Kingdom
1 h-index
2 publications
102 citations
Tongji University
Shanghai, China
1 h-index
1 publications
77 citations
China Agricultural University
Beijing, China
1 h-index
2 publications
154 citations
University of Nebraska–Lincoln
Lincoln, United States
1 h-index
3 publications
165 citations
National Institute of Technology Raipur
Raipur, India
1 h-index
3 publications
57 citations
University of Maryland, College Park
College Park, United States
1 h-index
1 publications
32 citations
1–8 of 59
2 publications · 72 citations
2
h-index
2 publications · 31 citations
2
h-index
1 publications · 66 citations
1
h-index
1 publications · 52 citations
1
h-index
1 publications · 75 citations
1
h-index
1–5