Please join Boston Data Vis, MapD, and the Harvard Center for Geographic Analysis for a joint event exploring the application of MapD's analytics and visualization platform. Pizza will be provided courtesy of MapD. Please note the location of this event (CGIS S020, Harvard University).
Thanks to MapD for sponsoring the event and Harvard CGA for providing the venue! Seating is limited - please only RSVP if you know you are attending the event: https://goo.gl/wJ84dT
Brief overview: Aaron Williams, MapD; Josh Lieberman, Harvard; Devika Kakkar, Harvard
Topic: Speed and Interactivity: How We Visualized the National Water Model (NWM) Predictions
MapD has collaborated with researchers at the Harvard Center for Geographic Analysis to provide true interactive access to NWM predictions for stream flow and ground saturation across the entire continental US. Predictions can be viewed prospectively, “how will conditions change going forward?” as well as retrospectively, “how did condition predictions evolve up to any given present?”
This talk will cover a brief intro to MapD’s GPU-based analytics platform and how it has advanced the visualization and analysis of geospatial data, using the NWM as a use case.
6:00 pm: Check-in, grab pizza and drinks, meet speakers and other Boston Visualization Data community members
6:30 pm: Opening from Meetup Organizer
Intro to GPU-based analytics, including MapD’s open source SQL engine
Demonstration of the NWM predictions from the Harvard Center for Geographic Analysis
7:20 pm: Q&A
7:40 pm: Networking
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