1990
DOI: 10.1080/02693799008941549
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Kriging: a method of interpolation for geographical information systems

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Cited by 1,610 publications
(867 citation statements)
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References 38 publications
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“…Kriging is a spatial interpolation method that predicts unknown values from data observed at known locations. This method uses variogram to express the spatial variation, and it minimizes the error of predicted values, 32 which are estimated by spatial distribution of the predicted values. As a virtually unbiased method in a interpolation situation, Kriging model has several advantages over other interpolation and smoothing methods, and has been used to create maps of geographic genetic clines in human population genetics and biological anthropology.…”
Section: Samples and Their Spatial Databasesmentioning
confidence: 99%
“…Kriging is a spatial interpolation method that predicts unknown values from data observed at known locations. This method uses variogram to express the spatial variation, and it minimizes the error of predicted values, 32 which are estimated by spatial distribution of the predicted values. As a virtually unbiased method in a interpolation situation, Kriging model has several advantages over other interpolation and smoothing methods, and has been used to create maps of geographic genetic clines in human population genetics and biological anthropology.…”
Section: Samples and Their Spatial Databasesmentioning
confidence: 99%
“…Only profiles with data coverage both in the upper 10m and depths below are used. Depths of ML and IL are calculated from individual profiles and then interpolated onto a regular gird of 1 latitude  1 longitude for each month using the Kriging algorithm [Oliver and Webster, 1990]. Following Bosc et al [2009], the IL depth is defined as the depth where temperature is 0.2 C lower than that at the 10 m depth.…”
Section: Methodsmentioning
confidence: 99%
“…The idea for using geological modelling software was to reckon the soil horizons as geological layers, so that the horizons with various depths could be modelled. Interpolating soil and parent material surfaces among the measured points the spatial variation of solum depth was also established with JewelSuite 2013, using the Kriging method mentioned above (Oliver and Webster, 1990). ESRI ArcMap 10.1 and ArcScene 10.1 were used to create soil depth map, and to visualize the soil groups formed on the basis of the reflectance spectra and chemical analyses.…”
Section: Gis Supportmentioning
confidence: 99%