Nonstationary Spatial Processes is a spatial statistical model in which the dependence structure between locations varies across space, distinguishing it from stationary processes by allowing the covariance or autocorrelation function to change with location.
98
Publications
7.1K
Citations
188
Authors
133
Institutions
Publications per year
2017–2026
17
Publications
98
Geographical and Temporal Weighted Regression (GTWR)
A. Stewart Fotheringham, Ricardo Crespo, Jing Yao · Geographical Analysis · 2015 · 590 citations
Computing, Geography, Geoinformatics +15
Spectral methods for nonstationary spatial processes
M. Fuentes · Biometrika · 2002 · 258 citations
1–5 of 98
Authors
188
- MF
6
h-index
- AS
5
h-index
- PG
5
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- PD
4
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- MD
4
h-index
1–5 of 188
Institutions
133
North Carolina State University
Raleigh, United States
11 h-index
18 publications
706 citations
The Ohio State University
Columbus, United States
5 h-index
8 publications
311 citations
University of Washington
Seattle, United States
4 h-index
8 publications
1.8K citations
University of Chicago
Chicago, United States
4 h-index
4 publications
226 citations
NSF National Center for Atmospheric Research
Boulder, United States
4 h-index
5 publications
514 citations
Arizona State University
Tempe, United States
3 h-index
3 publications
661 citations
Newcastle University
Newcastle upon Tyne, United Kingdom
3 h-index
9 publications
2K citations
University of Colorado Boulder
Boulder, United States
3 h-index
7 publications
201 citations
1–8 of 133
Venues
- Journal of the American Statistical Association
12 publications · 1.4K citations
12
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- Environmetrics
10 publications · 948 citations
10
h-index
- Journal of Computational and Graphical Statistics
JCGS · 5 publications · 135 citations
5
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- International Journal of Geographical Information Systems
4 publications · 602 citations
4
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- Water Resources Research
3 publications · 226 citations
3
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1–5