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Home  >  Volume 31 (July 2015)

Incorporating Spatial Structures in the Analysis of Two Sets of Experimental Data by Ojurongbe T.A and Bashiru K. A (pages 27-34)
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Abstract

Spatial variability, concerned with variation among observations in space, is usually ignored in the analysis of field experiments.  Inclusion of significant random spatial effects enhances the efficiency of estimation of fixed effects. Mixed modelling provides the opportunity to perform such analysis. Two datasets were investigated for the existence of spatial patterns and, where appropriate, the incorporation of such existence in the analysis of the data sets. The study indicated that spatial patterns varied over different datasets and that these patterns could be modelled using appropriate spatial variance and covariance structures. The approach is recommended as a standard practice in the analysis of agronomic and spatial-temporal related trials.

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