Interpolation Uncertainty
Interpolation Uncertainty is the quantification of error or variability arising from the estimation of unknown values at unsampled locations during spatial interpolation, distinguishing it from other sources of geospatial uncertainty by specifically characterizing the reliability of predicted values based on spatial dependence and sampling configuration.
80
Publications
30K
Citations
255
Authors
142
Institutions
Publications per year
2017–2026
28
80
Improvements in the GISTEMP Uncertainty Model
Nathan Lenssen, Gavin A. Schmidt, James E. Hansen et al. · Journal of Geophysical Research Atmospheres · 2019 · 987 citations · Full text
1–5 of 80
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NOAA National Centers for Environmental Information, United States
2 publications · 1.2K citations
2
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1–5 of 255
142
Northwestern University
Evanston, United States
4 h-index
11 publications
801 citations

Chinese Academy of Sciences
Beijing, China
3 h-index
13 publications
3.5K citations

City University of Hong Kong
Hong Kong, Hong Kong
3 h-index
5 publications
197 citations
Royal Netherlands Meteorological Institute
De Bilt, The Netherlands
3 h-index
8 publications
8.5K citations

University of Tehran
Tehran, Iran
3 h-index
5 publications
85 citations

University of East Anglia
Norwich, United Kingdom
3 h-index
6 publications
9.6K citations
Environmental Protection Agency
Washington, United States
2 h-index
5 publications
226 citations
University of Oxford
Oxford, United Kingdom
2 h-index
4 publications
5.8K citations
1–8 of 142
JGR · 4 publications · 3.1K citations
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4 publications · 314 citations
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2 publications · 20.1K citations
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2 publications · 45 citations
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JGR · 2 publications · 2.9K citations
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