A simplified theory of point kriging and its extension to co-kriging and sampling optimization

Clarke, G.P.Y. and Dane, J.H. (1991) A simplified theory of point kriging and its extension to co-kriging and sampling optimization. Documentation. Alabama Agricultural Experiment Station, USA.

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Abstract

There has been a considerable upsurge of interest in spatial statistics in soil science over thepast decade. This reflects a growing need by the scientific community to take into account the non-random nature of the distributions of variables measured at different locations. One tool which can meet many of these needs is kriging. The kriging technique allows values of a given, spatiallydependent, variate to be predicted at points where no measurements were made. It is then possible to construct a contour map for that variate. Based on the theoretically developed equations, computer programs were written to carry out the predictions. The six developed computer programs wereapplied to data collected in the experiments. A 50-by 100-m field was sampled on two occasions at a total of 60 locations and at five to 11 depths to study the spatial variability of pH, Ca, Mg, K, P, organic matter, texture, bulk density, soil water retention, and saturated hydraulic conductivity.The programs were written in such a manner that data sets obtained at two different times could be combined into one for prediction purposes. The equations developed in the theoretical sections are the same as those used in the computer programs presented, with most of the notation remainingconsistent throughout

Item Type:	Monograph (Documentation)
Uncontrolled Keywords:	Soil analysis; Statistical methods; Computer software, RP6935
Subjects:	Soil Science and Microbiology > Soil Sciences Statistics and Experimentation
Divisions:	General
Depositing User:	Mr Daneti Raju
Date Deposited:	16 Mar 2014 05:20
Last Modified:	16 Mar 2014 05:20
URI:	http://eprints.icrisat.ac.in/id/eprint/12604

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