Abstract
Cluster analysis was applied in grouping soils based on their scores of the factors controlling soil variation in a cultivated field at the Experimental Farm of the International Institute of Tropical Agriculture in Ibadan, Nigeria. The procedure employed here consisted of two steps: 1) grouping of the samples into a given number of provisional dusters through non-hierarchical cluster analysis, and 2) analysis of the similarity among those clusters using their means with hierarchical cluster analysis and determination of the proper number of the final clusters. Two initial settings in the assignment of the number of the provisional clusters were tested in non-hierarchical cluster analysis. Both trials gave a consistent classification, which also agreed with that based only on hierarchical cluster analysis. This combination of non-hierarchical and hierarchical cluster analyses enabled us to prepare a soil map solely based on the factors controlling soil variation in the study area without introducing an a ...
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