Spatial Measurement Error Models
Spatial Measurement Error Models is a class of Bayesian hierarchical models that account for geographic dependence and uncertainty in observed measurements by explicitly incorporating spatial correlation structures into the measurement error process.
69
Publications
3.1K
Citations
213
Authors
131
Institutions
Publications per year
2017–2026
16
69
Aggregation error for location models: survey and analysis
Richard L. Francis, Timothy J. Lowe, M. Brenda Rayco et al. · Annals of Operations Research · 2008 · 119 citations
Sarah M. Hamylton, John D. Hedley, Robin J. Beaman · Remote Sensing · 2015 · 118 citations · Full text
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University of California, Santa Barbara, United States
2 publications · 45 citations
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131
Harvard University
Cambridge, United States
5 h-index
8 publications
1.2K citations
University of Illinois Urbana-Champaign
Urbana, United States
4 h-index
9 publications
319 citations
Chinese University of Hong Kong
Hong Kong, Hong Kong
3 h-index
3 publications
64 citations

University of Wollongong
Wollongong, Australia
2 h-index
2 publications
129 citations
Iowa State University
Ames, United States
2 h-index
3 publications
211 citations
University of California, Santa Barbara
Santa Barbara, United States
2 h-index
2 publications
45 citations

Université Laval
Québec, Canada
2 h-index
3 publications
88 citations
University of California, Berkeley
Berkeley, United States
2 h-index
3 publications
324 citations
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3 publications · 70 citations
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3 publications · 79 citations
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TRR · 2 publications · 34 citations
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2 publications · 54 citations
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2 publications · 270 citations
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