Covariance Visualization is a multivariate uncertainty visualization technique that specifically encodes the second-order statistical relationships between pairs of variables, distinguished by its focus on depicting the direction, magnitude, and structure of covariance in multivariate data.
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6
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6
Institutions
Publications per year
2017–2026
1
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Use of Two-Block Partial Least-Squares to Study Covariation in Shape
F. James Rohlf, Marco Corti · Systematic Biology · 2000 · 897 citations · Full text
Michael Friendly · The American Statistician · 2002 · 697 citations
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Authors
6
- MF
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- FJ
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- MS
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- FW
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- SB
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1–5 of 6
Institutions
6
Sapienza University of Rome
Rome, Italy
1 h-index
1 publications
897 citations
State University of New York
Albany, United States
1 h-index
1 publications
897 citations
Ontario Council of University Libraries
Toronto, Canada
1 h-index
1 publications
697 citations
York University
Toronto, Canada
1 h-index
2 publications
54 citations
Stony Brook University
Stony Brook, United States
1 h-index
1 publications
897 citations
Argonne National Laboratory
Lemont, United States
1 h-index
2 publications
200 citations
KU Leuven
Leuven, Belgium
1 publications
19 citations
Columbia University
New York, United States
1 publications
19 citations
1–8 of 6
Venues
- The American Statistician
2 publications · 724 citations
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- The Journal of Open Source Software
JOSS · 1 publications · 100 citations
1
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- Systematic Biology
1 publications · 897 citations
1
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- Journal of Data Science Statistics and Visualisation
JDSSV · 1 publications · 19 citations
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