Geostatistical theory and application to variability of some agronomical properties

S. R. Vieira, J. L. Hatfield, D. R. Nielsen and J. W. Biggar

Hilgardia, 1983, vol. 51, issue 3

Abstract: In agronomic problems the sampling procedure may create some confusion and bias in the analysis. Geostatistics provides a method for the analysis of the spatial and temporal properties in a data set and a method of interpolation between selected points. This paper describes the theory of geostatistics and its application to selected agronomic problems. Geostatistics considers a set of data collected in either space or time at discrete intervals. These samples may be correlated with each other to provide some unique information about the parameters which would not be detected in the classical statistical methods. Through the application of geostatistics to this type of problem, we can estimate the spatial or temporal dependence of samples and from this knowledge arrive at an estimation of the sampling procedures or structure at a field. The application of these techniques is shown for air temperature, surface temperature, yield, clay content, and fertilizer content in various fields and reveals the versatility of the techniques.

Keywords: Research; Methods/Statistical; Methods (search for similar items in EconPapers)
Date: 1983
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