Spatial Data Models
Spatial Data Models is a formal framework in Geographic Information Science that specifies how spatial entities and their geometric, topological, and attribute characteristics are structured and represented within Geographic Information Systems for computational analysis and visualization.
3.3K
Publications
262.1K
Citations
6.5K
Authors
1.8K
Institutions
Publications per year
2017–2026
707
3.3K
Noel Cressie · Terra Nova · 1992 · 8.9K citations
Computing, Geography, Geoinformatics +12
A two-dimensional interpolation function for irregularly-spaced data
Donald S. Shepard · 1968 · 5K citations
Simple Features for R: Standardized Support for Spatial Vector Data
Edzer Pebesma · The R Journal · 2018 · 4.6K citations · Full text
An Introduction to Applied Geostatistics
Richard A. Bilonick · Technometrics · 1991 · 4.5K citations
1–5 of 3.3K
6.5K
29
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University of California, Santa Barbara, United States
32 publications · 3.5K citations
24
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23
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21
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21
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1–5 of 6.5K
1.8K
University of California, Santa Barbara
Santa Barbara, United States
39 h-index
121 publications
10.8K citations

Pennsylvania State University
State College, United States
28 h-index
60 publications
5.6K citations

The University of Melbourne
Melbourne, Australia
26 h-index
98 publications
4.1K citations

Delft University of Technology
Delft, The Netherlands
26 h-index
93 publications
3.7K citations

University of Maine
Orono, United States
26 h-index
48 publications
5.5K citations
The Ohio State University
Columbus, United States
24 h-index
43 publications
3.1K citations

University of Minnesota
Minneapolis, United States
24 h-index
68 publications
6.6K citations
Arizona State University
Tempe, United States
23 h-index
43 publications
3.5K citations
1–8 of 1.8K
205 publications · 15.4K citations
65
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80 publications · 6.6K citations
43
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CAGEO · 87 publications · 9.3K citations
42
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77 publications · 4.2K citations
32
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IJGI · 73 publications · 3.1K citations
30
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1–5