Data Simplification
Data Simplification is a data abstraction method that reduces the complexity of spatial datasets by selectively removing or generalizing details while preserving essential structural or semantic characteristics for efficient map compilation and appropriate spatial resolution representation.
56
Publications
2.6K
Citations
182
Authors
96
Institutions
Publications per year
2017–2026
21
56
Out-of-core simplification of large polygonal models
Peter Lindström · 2000 · 293 citations · Full text
Julien Tierny, Guillaume Favelier, Joshua A. Levine et al. · IEEE Transactions on Visualization and Computer Graphics · 2017 · 207 citations · Full text
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96

The University of Queensland
Brisbane, Australia
2 h-index
4 publications
62 citations

Centre National de la Recherche Scientifique
Paris, France
2 h-index
3 publications
258 citations

Sorbonne Université
Paris, France
2 h-index
4 publications
657 citations

Peking University
Beijing, China
2 h-index
2 publications
30 citations

Hong Kong University of Science and Technology
Hong Kong, Hong Kong
2 h-index
3 publications
142 citations
University of California, Los Angeles
Los Angeles, United States
2 h-index
4 publications
260 citations
Nanjing Normal University
Nanjing, China
2 h-index
3 publications
54 citations

Xi'an Jiaotong University
Xi'an, China
2 h-index
11 publications
218 citations
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TVCG · 6 publications · 389 citations
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4 publications · 231 citations
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PVLDB · 2 publications · 134 citations
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2 publications · 65 citations
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1 publications · 111 citations
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