Metric Generalization
Metric Generalization is a methodological framework in cartographic generalization that systematically preserves the spatial fidelity and topological consistency of geographic features across varying scales by adapting metric properties such as distance, area, and shape according to predefined cartographic constraints.
29
Publications
5.7K
Citations
68
Authors
30
Institutions
Publications per year
2017–2026
9
Parents
29
A new approach to generalized metric spaces
Zead Mustafa, Brailey Sims · 2006 · 700 citations
ZoeDepth: Zero-shot Transfer by Combining Relative and Metric Depth
Shariq Farooq Bhat, Reiner Birkl, Diana Wofk et al. · arXiv (Cornell University) · 2023 · 173 citations · Full text
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University College Dublin
Dublin, Ireland
2 h-index
7 publications
98 citations
Stanford University
Stanford, United States
2 h-index
4 publications
1.9K citations
École Normale Supérieure - PSL
Paris, France
2 h-index
2 publications
48 citations
Laboratoire Kastler Brossel
Paris, France
2 h-index
2 publications
48 citations
Tsinghua University
Beijing, China
2 h-index
6 publications
99 citations
Cardiff University
Cardiff, United Kingdom
1 h-index
1 publications
43 citations
Environment and Climate Change Canada
Ottawa, Canada
1 h-index
2 publications
46 citations
City College of New York
New York, United States
1 h-index
1 publications
10 citations
1–8 of 30
Repository · 3 publications · 441 citations
3
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2 publications · 53 citations
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PRD · 1 publications · 34 citations
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1 publications · 43 citations
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1 publications · 12 citations
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