Eaglin, ToddCho, IsaacRibarsky, William2016-12-292016-12-292017-01-04978-0-9981331-0-2http://hdl.handle.net/10125/41318We 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 inte- grated visual analytics (VA) system permits new anal- yses of spatial-temporal data from a variety of sources. Novel, interlinked interface elements permit efficient, meaningful analyses.10 pagesengAttribution-NonCommercial-NoDerivatives 4.0 InternationalAnalyticsGPUSpace-TimeVisualizationConference Paper10.24251/HICSS.2017.165