Space-Time Kernel Density Estimation for Real-Time Interactive Visual Analytics

We present a GPU-based implementation of the Space-Time Kernel Density Estimation (STKDE) that provides massive speed up in analyzing spatial-temporal data. In our work we are able to achieve sub-second performance for data sizes transferable over the Internet in realistic time. We have integrated this into web-based visual interactive analytics tools for analyzing spatial-temporal data. The resulting integrated visual analytics (VA) system permits new analyses of spatial-temporal data from a variety of sources. Novel, interlinked interface elements permit efficient, meaningful analyses.