Field-based Spatial Data Model
A Field-Based Spatial Data Model is a spatial data model that represents geographic phenomena as continuous distributions of values over space, distinguished from object-based models by treating space as a field of measured or estimated attributes at arbitrary locations.
30
Publications
1.3K
Citations
95
Authors
51
Institutions
Publications per year
2017–2026
8
Parents
30
A modeling approach for large spatial datasets
Michael L. Stein · Journal of the Korean Statistical Society · 2008 · 105 citations
Computing, Geography, Geoinformatics +14
Tools for optimizing management of spatially-variable fields
H.W.G. Booltink, B.J. van Alphen, William D. Batchelor et al. · Agricultural Systems · 2001 · 78 citations
1–5 of 30
95
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University of California, Santa Barbara, United States
2 publications · 231 citations
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2
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1
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1
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1–5 of 95
51
Wuhan University
Wuhan, China
4 h-index
13 publications
491 citations
University of California, Santa Barbara
Santa Barbara, United States
3 h-index
3 publications
144 citations
University of Chicago
Chicago, United States
2 h-index
3 publications
133 citations
Wageningen University & Research
Wageningen, The Netherlands
2 h-index
6 publications
270 citations
China University of Mining and Technology
Xuzhou, China
1 h-index
3 publications
33 citations

Centers for Disease Control and Prevention
Atlanta, United States
1 h-index
3 publications
204 citations
University of Chinese Academy of Sciences
Beijing, China
1 h-index
2 publications
44 citations
University of Virginia
Charlottesville, United States
1 h-index
1 publications
14 citations
1–8 of 51
7 publications · 441 citations
7
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2 publications · 86 citations
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JBCS · 1 publications · 10 citations
1
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1 publications · 14 citations
1
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1 publications · 22 citations
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1–5