Spatial Interpolation is a spatial data analysis technique that belongs to the broader class of spatial prediction methods, distinguished by its specific purpose of estimating unknown values at unsampled locations based on the spatial correlation of measured data points.
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A two-dimensional interpolation function for irregularly-spaced data
Donald S. Shepard · 1968 · 5K citations
Version 4 of the CRU TS monthly high-resolution gridded multivariate climate dataset
Ian Harris, Timothy J. Osborn, P. D. Jones et al. · Scientific Data · 2020 · 4.8K citations · Full text
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Chinese Academy of Sciences
Beijing, China
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Beijing, China
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University of Chinese Academy of Sciences
Beijing, China
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Centre National de la Recherche Scientifique
Paris, France
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University of Alberta
Edmonton, Canada
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Wuhan University
Wuhan, China
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