Data-Driven Symbolization is a map symbolization method that systematically derives visual representation parameters from the statistical or structural properties of the underlying geographic data, distinguishing itself from rule-based or cartographer-defined symbolization by prioritizing empirical data characteristics in the design of graphical variables.
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Publications
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2017–2026
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Parents
Publications
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Symbolization assisted SVM classifier for noisy data
Ravi A. Kumar, Abhijit Kulkarni, Vaidyanathan Jayaraman et al. · Pattern Recognition Letters · 2004 · 11 citations
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Authors
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Institutions
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Pennsylvania State University
State College, United States
1 h-index
1 publications
71 citations
Inserm
Paris, France
1 h-index
1 publications
34 citations
Laboratoire d'Automatique, Génie Informatique et Signal
Villeneuve-d'Ascq, France
1 h-index
2 publications
68 citations
Institute of Geography of the Slovak Academy of Sciences
Bratislava, Slovakia
1 h-index
1 publications
71 citations
National Chemical Laboratory
Pune, India
1 h-index
4 publications
44 citations
Université de Lille
Lille, France
1 h-index
2 publications
68 citations
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Venues
- Cartography and Geographic Information Systems
1 publications · 71 citations
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- Artificial Intelligence in Medicine
AIM · 1 publications · 34 citations
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- Pattern Recognition Letters
1 publications · 11 citations
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