Towards a qualitative analysis of interpolation methods for deformable moving regions

Spatio-temporal data on the evolution of real-world phenomena are normally acquired as snapshots in discrete time. The continuous evolution of a phenomenon between observations can be approximated using interpolation methods capable of generating deformable moving regions. Several region interpolation methods have been proposed in the spatio-temporal databases literature, each one with its own characteristics that can be more suited to represent the evolution of specific physical phenomena. In this work, we present SPT Data Lab for the qualitative and quantitative comparison of different region interpolation methods. SPT Data Lab allows users to visualize and refine 2D regions extracted from sequences of observations, execute several region interpolation methods and visualize and compare their results. SPT Data Lab also provides quality metrics that are collected during interpolation, allowing users to assess the quality of different methods. Demonstration participants will experience the application of methods on real-world data that exemplify the importance of using an appropriate method for each use case.