Classification method by information loss minimization for visualizing spatial data

Abstract

It is necessary to classify numerical values of spatial data when representing them on a map and so that, visually, it can be clearly understood as possible. Inevitably some loss of information from the original data occurs in the process of this classification. A gate loss of information might lead to a misunderstanding of the nature of original data. In this study, a classification method for organizing spatial data is proposed, in which any loss of information is minimized. When this method is compared with other existing classification methods, some new findings are shown.