Since inception of the “Developing Workbenches for Spatial Data Science” project, the research team has added 22 Python standard notes to the KNIME Data Analytics Platform, enhancing geospatial data analytical capabilities with KNIME-based workflows. More are currently under development.
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