Visualization of Temporal-Oriented Datasets

Visualization and interpolation naturally go together and strengthen each other. The paper presents an interpolation method as a pre-processing tool to generate the missing data to be visualized. The method is applied in election prediction, a typical temporal-oriented spatiotemporal dataset. The experimental results demonstrate the ability of the methods to accurately predict the presidential election