Spatial Data Structures
Spatial Data Structures is a data organization method that belongs to the class of data structures and is distinguished by its explicit encoding of spatial relationships and geometric properties to support efficient storage, retrieval, and manipulation of spatial data.
991
Publications
81K
Citations
1.9K
Authors
623
Institutions
Publications per year
2017–2026
121
991
Simple Features for R: Standardized Support for Spatial Vector Data
Edzer Pebesma · The R Journal · 2018 · 4.6K citations · Full text
The R*-tree: an efficient and robust access method for points and rectangles
Norbert Beckmann, Hans‐Peter Kriegel, Ralf Schneider et al. · 1990 · 4.2K citations · Full text
Antonin Guttman · ACM SIGMOD Record · 1984 · 1.6K citations · Full text
1–5 of 991
1.9K
22
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Hong Kong University of Science and Technology, Hong Kong SAR China
19 publications · 1.5K citations
17
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16
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14
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14
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1–5 of 1.9K
623
University of Maryland, College Park
College Park, United States
26 h-index
70 publications
8.6K citations

Hong Kong University of Science and Technology
Hong Kong, Hong Kong
17 h-index
30 publications
2.2K citations
Aalborg University
Aalborg, Denmark
16 h-index
30 publications
4.9K citations
Wuhan University
Wuhan, China
15 h-index
66 publications
1.7K citations
State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing
Wuhan, China
13 h-index
36 publications
1.1K citations
Aristotle University of Thessaloniki
Thessaloniki, Greece
12 h-index
26 publications
901 citations

Monash University
Melbourne, Australia
11 h-index
29 publications
702 citations
AT&T (United States)
Bedminster, United States
11 h-index
13 publications
2.6K citations
1–8 of 623
38 publications · 1.7K citations
25
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26 publications · 6.1K citations
23
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TKDE · 33 publications · 2K citations
23
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CAGEO · 25 publications · 3.2K citations
20
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17 publications · 1.8K citations
15
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1–5