TITLE

Improving the Prediction Auccuracy of Soil Mapping through Geostatistics

AUTHOR(S)
Omran, El-Sayed Ewis
PUB. DATE
July 2012
SOURCE
International Journal of Geosciences;Jul2012, Vol. 3 Issue 3, p574
SOURCE TYPE
Academic Journal
DOC. TYPE
Article
ABSTRACT
This research aimed to implement and compare the accuracy of different interpolation methods using cross validation errors for interpolating the spatial pattern of soil properties. This paper investigates whether the use of kriging, instead of traditional interpolation methods, improves the accuracy of prediction of soil properties. To this end, various interpolation (kriging) techniques that rely on the spatial correlation between observations to predict attribute values at ensampled locations are studied. Geostatistics provides descriptive tools such as semivariograms to characterize the spatial pattern of continuous and categorical soil attributes. The maps obtained from Ordinary Kriging, Inverse Distance Weighting and splines show clearly that the map from Universal Kriging (UK) is better than the other three interpolation methods. Therefore, UK can be considered as an accurate method for interpolating soil (EC, pH, CaCO3) properties.
ACCESSION #
80535015

 

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