Trend Surface Interpolation
Trend Surface Interpolation is a spatial interpolation method that belongs to the class of global deterministic techniques, in which a mathematical surface is fitted to observed data points using polynomial functions of spatial coordinates to model gradual, large-scale spatial trends.
16
Publications
748
Citations
41
Authors
29
Institutions
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2017–2026
3
Parents
16
Claire H. Jarvis, Neil Stuart · Journal of Applied Meteorology · 2001 · 203 citations
Trend Surface Mapping of Cirque Floor Levels
James A. Peterson, Geoffrey Robinson · Nature · 1969 · 45 citations
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Centre National de la Recherche Scientifique
Paris, France
2 h-index
3 publications
87 citations
Météo-France
Toulouse, France
1 h-index
1 publications
38 citations
University at Buffalo, State University of New York
Buffalo, United States
1 h-index
1 publications
64 citations

Kyoto College of Graduate Studies for Informatics
Kyoto, Japan
1 h-index
1 publications
30 citations
University of Cambridge
Cambridge, United Kingdom
1 h-index
1 publications
64 citations

University of Bristol
Bristol, United Kingdom
1 h-index
1 publications
16 citations
Espaces et Sociétés
Rennes, France
1 h-index
1 publications
11 citations

Monash University
Melbourne, Australia
1 h-index
2 publications
90 citations
1–8 of 29
1 publications · 12 citations
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JGR · 1 publications · 21 citations
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1 publications · 19 citations
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1 publications · 31 citations
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1 publications · 38 citations
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