Vector Data Models
Vector Data Models is a geographic data representation framework that uses points, lines, and polygons to depict spatial features, distinguished by its emphasis on discrete, topologically explicit geometries for precise location-based analysis.
146
Publications
10.8K
Citations
443
Authors
182
Institutions
Publications per year
2017–2026
44
Parents
146
Simple Features for R: Standardized Support for Spatial Vector Data
Edzer Pebesma · The R Journal · 2018 · 4.6K citations · Full text
Jianguo Wang, Xiaomeng Yi, Rentong Guo et al. · 2021 · 316 citations · Full text
Least squares model fitting to fuzzy vector data
Aivars Celmiņš · Fuzzy Sets and Systems · 1987 · 254 citations
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182
Wuhan University
Wuhan, China
8 h-index
24 publications
838 citations
Nanjing Normal University
Nanjing, China
4 h-index
20 publications
441 citations
Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application
Nanjing, China
4 h-index
18 publications
401 citations
China University of Geosciences
Wuhan, China
3 h-index
7 publications
159 citations
State Key Laboratory of Remote Sensing Science
Beijing, China
3 h-index
12 publications
206 citations
University of California, Berkeley
Berkeley, United States
3 h-index
4 publications
127 citations
Stanford University
Stanford, United States
3 h-index
5 publications
237 citations
State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing
Wuhan, China
3 h-index
7 publications
270 citations
1–8 of 182
11 publications · 618 citations
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IJGI · 3 publications · 146 citations
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3 publications · 319 citations
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3 publications · 183 citations
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2 publications · 84 citations
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