Journal of Data Science

Abstract: The aim of this paper is to determine the effectiveness of cross association in detecting the similarity between correlated geological columnar sections. For this purpose, cross association is used to compare several geological columnar sections which are arbitrarily selected from different localities in central and north Jordan. It turns out, for most of the study cases, that the sections which consist of the same rock units (formations) are statistically classified as similar (p-value .05), while sections of different rock units (formations) are statistically classified as dissimilar (p-value .05).