Heavy.ai (formerly OmniSci) is now running on an-always on GPU server on New England Research Cloud (NERC). This will allow Harvard researchers to build public facing interactive dashboard for visualization and analysis of geospatial big data. Going forward, researchers plan to use it for building dashboard for our various projects including but not limited to Out of Eden Walk, Use of Social Media to Study Global Climate change, and Geo-tweets Archive.
Recent News
- The CPGIS Educational Webinar series on “Spatiotemporal Study of Urban Dynamics”
- Impact of COVID-19 Containment and Closure Policies on Tropospheric Nitrogen Dioxide: A Global Perspective
- COVID-19’s Impact on Excess Deaths of Various Causes in the United States
- Successful 2021 November IAB Meeting
- Spatiotemporal Trends and Variations of the Rainfall Amount, Intensity, and Frequency in TRMM Multi-Satellite Precipitation Analysis (TMPA) Data
- Implementation of OmniSci, an Open-Source GPU-Powered SQL
- NSF Funded the First I-Corps Project to The Spatiotemporal I/UCRC to Conduct Customer Discovery
- GMU Graduate Student, Qian Liu, Wins Two AAG Awards
- C2M2 Program Completion
- CGA Virtual Forum