Spatial Change-point Detection
Spatial Change-Point Detection is a statistical methodology within Bayesian spatial analysis that identifies abrupt changes in the spatial pattern or structure of a process by modeling the location and nature of discontinuities as latent change-points in a spatially referenced dataset.
66
Publications
2.4K
Citations
159
Authors
113
Institutions
Publications per year
2017–2026
21
Parents
66
The efficiency of detecting changes of density in random dot patterns
H. B. Barlow · Vision Research · 1978 · 178 citations
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Institut National de la Recherche Scientifique
Québec, Canada
3 h-index
8 publications
684 citations
Charles University
Prague, Czechia
2 h-index
3 publications
44 citations
University of Augsburg
Augsburg, Germany
2 h-index
2 publications
26 citations
The University of Texas at Dallas
Richardson, United States
2 h-index
5 publications
101 citations
Natural Sciences and Engineering Research Council of Canada
Ottawa, Canada
2 h-index
5 publications
636 citations
Hydro-Québec
Montreal, Canada
2 h-index
5 publications
636 citations

Centre National de la Recherche Scientifique
Paris, France
2 h-index
2 publications
42 citations
University of Utah
Salt Lake City, United States
2 h-index
2 publications
41 citations
1–8 of 113
Repository · 5 publications · 129 citations
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3 publications · 56 citations
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2 publications · 35 citations
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2 publications · 28 citations
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CSDA · 2 publications · 45 citations
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