An R package that implements the methods of geostatistics for functional data
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Updated
Mar 18, 2019 - R
An R package that implements the methods of geostatistics for functional data
Global surface temperature layers are interpolated based on a point measurement data set of the worldwide surface temperature, which has been recorded since 1950. For the spatial interpolation, an universal Kriging approach is applied with additional layers for the continentality, the atmospheric distance, the North-South topographic gradient an…
Thesis Chatper 3: This repository compares Spatial Interpolation methods to predict Seoul's air pollution
Trend Surface Analysis with R (Cape Flats Aquifer)
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