Spatial Process Modeling
Spatial Process Modeling is a spatial modeling approach that focuses on representing and analyzing dynamic, continuous, or evolving spatial phenomena by characterizing the underlying mechanisms, interactions, and temporal-spatial dependencies that generate observed patterns across geographic space and time.
516
Publications
50.3K
Citations
973
Authors
492
Institutions
Publications per year
2017–2026
81
516
Spatial Processes, Models and Applications
Luc Anselin, Andrew Cliff, J. Keith Ord · Economic Geography · 1983 · 2.7K citations
Computing, Geography, Urban Planning +12
Spatial Processes: Models and Applications
Neil Wrigley, Andrew Cliff, J. Keith Ord · Geographical Journal · 1982 · 1.3K citations
1–5 of 516
973
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492

University of Minnesota
Minneapolis, United States
19 h-index
32 publications
3.6K citations
Duke University
Durham, United States
16 h-index
18 publications
3.8K citations
Aalborg University
Aalborg, Denmark
13 h-index
21 publications
2.5K citations
University of California, Los Angeles
Los Angeles, United States
13 h-index
21 publications
3.3K citations
Texas A&M University
College Station, United States
11 h-index
11 publications
709 citations
Arizona State University
Tempe, United States
11 h-index
16 publications
2K citations

Central South University
Changsha, China
10 h-index
23 publications
660 citations
University of California, Santa Barbara
Santa Barbara, United States
9 h-index
10 publications
939 citations
1–8 of 492
17 publications · 2.5K citations
16
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14 publications · 11.5K citations
14
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14 publications · 2.8K citations
13
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14 publications · 714 citations
13
h-index
13 publications · 1.4K citations
12
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1–5