Sedimentary Environmental Discrimination Using Grain-Size Analyses

A multivarite statistical strategy, which reduces the sample-variable matrix to a set of interpretable graphical relationship by multigroup discriminant procedure, is used to maximize the information extracted from grain-size data of three known environments liker iver, beach and dune and an unknown environment of deposition of Tertiary clastics of Bangladesh. This makes the Euclidean distance in the discriminating space to be a valid and convenient criterion for classification/assignment so that the field of influence of each group can be easily visualized and this is conveniently used for the Classification of Tertiary (Miocene-Pliocene) clastics of the folded flank of Bengal foredeep of Bengal Basin where deposition took place in fluvial environment and sediments were carried by meandering river.