Spatial Mixture Model is a statistical framework that belongs to the class of mixture models by combining multiple probability distributions to represent heterogeneity in data, distinguished by its explicit incorporation of spatial dependence and location-specific mixing proportions to model regional variability in spatially referenced observations.
130
Publications
8.8K
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363
Authors
216
Institutions
Publications per year
2017–2026
38
Parents
Publications
130
A Spatial Statistical Model for Landscape Genetics
G. Guillot, Arnaud Estoup, Frédéric Mortier et al. · Genetics · 2004 · 697 citations · Full text
1–5 of 130
Authors
363
- AL
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h-index
- WC
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- GSGurdiljot Singh Gill
California State Polytechnic University, United States
3 publications · 78 citations
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- BC
3
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- MM
2
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1–5 of 363
Institutions
216
Medical University of South Carolina
Charleston, United States
4 h-index
6 publications
203 citations
Centre National de la Recherche Scientifique
Paris, France
4 h-index
6 publications
93 citations
National Taiwan University
Taipei, Taiwan
4 h-index
8 publications
384 citations
National Cheng Kung University
Tainan City, Taiwan
4 h-index
9 publications
189 citations
University of Illinois Urbana-Champaign
Urbana, United States
3 h-index
5 publications
96 citations
University of Oxford
Oxford, United Kingdom
3 h-index
6 publications
808 citations
United States Geological Survey
Reston, United States
3 h-index
10 publications
350 citations
University of South Carolina
Columbia, United States
3 h-index
6 publications
206 citations
1–8 of 216
Venues
- Environmetrics
5 publications · 108 citations
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- Journal of the American Statistical Association
5 publications · 833 citations
5
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- Biometrics
5 publications · 1.7K citations
5
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- Bayesian Analysis
4 publications · 140 citations
4
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- IEEE Transactions on Geoscience and Remote Sensing
4 publications · 456 citations
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