Bayesian Geostatistics is a statistical framework within spatial analysis that employs Bayesian inference to model and predict spatially correlated phenomena by formally quantifying uncertainty in both model parameters and spatial processes.
264
Publications
23.1K
Citations
884
Authors
340
Institutions
Publications per year
2017–2026
68
Publications
264
An Introduction to Applied Geostatistics
Richard A. Bilonick · Technometrics · 1991 · 4.5K citations
An Introduction to Applied Geostatistics
Michael Edward Hohn · Computers & Geosciences · 1991 · 843 citations
Bayesian networks in environmental modelling
Pedro A. Aguilera, Antonio Fernández, Rosa Fernández et al. · Environmental Modelling & Software · 2011 · 685 citations
1–5 of 264
Authors
884
- SB
12
h-index
- WN
6
h-index
- MK
5
h-index
- JC
5
h-index
- PK
4
h-index
1–5 of 884
Institutions
340
Stanford University
Stanford, United States
8 h-index
15 publications
723 citations
University of Minnesota
Minneapolis, United States
8 h-index
17 publications
1.1K citations
University of California, Los Angeles
Los Angeles, United States
7 h-index
8 publications
1.1K citations
University of Stuttgart
Stuttgart, Germany
7 h-index
14 publications
709 citations
University of Iowa
Iowa City, United States
6 h-index
14 publications
439 citations
Duke University
Durham, United States
6 h-index
7 publications
429 citations
University of Oxford
Oxford, United Kingdom
5 h-index
8 publications
478 citations
North Carolina State University
Raleigh, United States
5 h-index
7 publications
322 citations
1–8 of 340
Venues
- Water Resources Research
21 publications · 1.7K citations
19
h-index
- Environmetrics
10 publications · 725 citations
10
h-index
- Spatial Statistics
10 publications · 242 citations
10
h-index
- Journal of the American Statistical Association
8 publications · 1.4K citations
8
h-index
- Mathematical Geology
7 publications · 484 citations
7
h-index
1–5