Spatial Data Compression
Spatial Data Compression is a data reduction technique that belongs to the class of spatial database optimization methods, distinguished by its focus on minimizing the storage footprint and transmission overhead of spatial data through algorithmic encoding while preserving topological and geometric fidelity.
189
Publications
7K
Citations
622
Authors
271
Institutions
Publications per year
2017–2026
49
Variants
Geospatial Data Compression
189
Real-time compression of point cloud streams
Julius Kammerl, Nico Blodow, Radu Bogdan Rusu et al. · 2012 · 338 citations
Renchu Song, Weiwei Sun, Baihua Zheng et al. · Proceedings of the VLDB Endowment · 2014 · 142 citations
Computing, Geoinformatics, Geographic Information Science +16
1–5 of 189
622
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University of Occupational and Environmental Health Japan, Japan
3 publications · 60 citations
3
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University at Albany, State University of New York, United States
3 publications · 212 citations
3
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3
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3
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1–5 of 622
271

University of Hong Kong
Pok Fu Lam, Hong Kong
6 h-index
13 publications
351 citations
Singapore Management University
Singapore, Singapore
5 h-index
5 publications
327 citations
Microsoft Research Asia (China)
Beijing, China
5 h-index
5 publications
345 citations
Tsinghua University
Beijing, China
4 h-index
9 publications
139 citations

Hong Kong Polytechnic University
Hong Kong, Hong Kong
3 h-index
11 publications
737 citations
Purdue University West Lafayette
West Lafayette, United States
3 h-index
6 publications
446 citations
University at Albany, State University of New York
Albany, United States
3 h-index
14 publications
1.1K citations
ETH Zurich
Zurich, Switzerland
3 h-index
7 publications
136 citations
1–8 of 271
8 publications · 274 citations
8
h-index
5 publications · 114 citations
5
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Repository · 4 publications · 150 citations
4
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3 publications · 205 citations
3
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3 publications · 262 citations
3
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