Data Estimation and Distribution Map Using CQSAR: Compensation Quantitative Structure-Activity Relationships–A Case of Seoul, Korea, on April 13, 14, 2008–

Abstract

In this note, we present a method to draw a distribution map of materials observed at a few, sparse and localized data points, such situations frequently appear in the problems of chemistry and environmental science. In these situations, it is usually difficult to draw a distribution map because data on triangular or square lattice are required for drawing. We generate additional points where the amount of materials is estimated by CQSAR: Compensation Quantitative Structure-Activity Relationships based on perceptron type neural network after learning of 31 observation data taken at Seoul, Korea on April 13-14, 2008. Then the generated data were used for drawing a distribution map. The distribution map using the additional points generated by CQSAR is useful to understanding the overview of material distributions.