Abstract
In this note, we present a method to draw a distribution map of materials observed at a few, sparse and localized data points, a situation frequently appeared in the problem of chemistry and environmental science. In this situation, it is usually difficult to draw a distribution map because data on triangular or square lattice are required. We generate additional points where the amount of materials is estimated by CQSAR: Compensation Quantitative Structure-Activity Relationships based on perceptron type neural network. Then the data were used for drawing a distribution map. The distribution map using the additional points generated by CQSAR is useful for understanding an overview of material distributions.
