Trend Surface Analysis
Trend Surface Analysis is a spatial interpolation method that models geographic phenomena as a mathematical surface by fitting a polynomial function to observed data points, distinguishing itself from other interpolation techniques through its emphasis on capturing broad-scale spatial trends while filtering out local variations.
188
Publications
9.2K
Citations
441
Authors
237
Institutions
Publications per year
2017–2026
26
188
SPATIAL AUTOCORRELATION AND AUTOREGRESSIVE MODELS IN ECOLOGY
Jeremy W. Lichstein, Theodore R. Simons, Susan A. Shriner et al. · Ecological Monographs · 2002 · 869 citations
Claire H. Jarvis, Neil Stuart · Journal of Applied Meteorology · 2001 · 203 citations
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441
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237
The Ohio State University
Columbus, United States
4 h-index
11 publications
310 citations
University of Oxford
Oxford, United Kingdom
4 h-index
4 publications
133 citations

University of Helsinki
Helsinki, Finland
4 h-index
5 publications
135 citations
Geological Survey of Canada
Ottawa, Canada
4 h-index
4 publications
113 citations
China University of Geosciences
Wuhan, China
3 h-index
8 publications
382 citations
Centre de Coopération Internationale en Recherche Agronomique pour le Développement
Paris, France
3 h-index
5 publications
242 citations

Centre National de la Recherche Scientifique
Paris, France
3 h-index
5 publications
205 citations

Monash University
Melbourne, Australia
3 h-index
6 publications
147 citations
1–8 of 237
JGR · 8 publications · 499 citations
8
h-index
6 publications · 203 citations
6
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5 publications · 355 citations
5
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5 publications · 137 citations
5
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5 publications · 183 citations
5
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