Spatial Multiscale Inference
Spatial Multiscale Inference is a formal analytical framework that integrates spatial data across multiple scales to infer overarching patterns or processes, distinguished by its explicit modeling of scale-dependent relationships and spatial heterogeneity within a unified inferential structure.
8
Publications
714
Citations
18
Authors
16
Institutions
Publications per year
2017–2026
4
Parents
8
Inference in Multiscale Geographically Weighted Regression
Hanchen Yu, A. Stewart Fotheringham, Ziqi Li et al. · Geographical Analysis · 2019 · 401 citations · Full text
1–5 of 8
18
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16
Kellogg's (Canada)
Mississauga, Canada
1 h-index
1 publications
54 citations
Geospatial Research (United Kingdom)
Durham, United Kingdom
1 h-index
2 publications
802 citations

Peking University
Beijing, China
1 h-index
1 publications
401 citations
University of Maryland, College Park
College Park, United States
1 h-index
1 publications
401 citations
University of Tennessee at Knoxville
Knoxville, United States
1 h-index
3 publications
78 citations
Princeton University
Princeton, United States
1 h-index
1 publications
86 citations

California Academy of Sciences
San Francisco, United States
1 h-index
1 publications
57 citations

Geospatial Information Authority of Japan
Tsukuba, Japan
1 h-index
1 publications
401 citations
1–8 of 16
2 publications · 455 citations
2
h-index
1 publications · 26 citations
1
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1 publications · 86 citations
1
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1 publications · 57 citations
1
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TCDS · 1 publications · 20 citations
1–5