In: Esri User Conference 2022. Session: GI Science: Transactions in GIS
Abstract: Researchers are increasingly working with large geospatial datasets that contain hundreds of millions of records. At this scale, traditional GIS methods may fall short and new approaches are needed to analyze the data. The objective of this work is to develop methods to interactively analyze and visualize big datasets and demonstrate it with a case study of partisan segregation. Historically,...
This is one of the presentations in the Pre-conference Session: Rapid Response to Emerging Public Health Threats: Data, Tools and Applications, of the 28th International Conference on Geoinformatics (Geoinformatics 2021 - CPGIS Annual Conference): GISciences for a Resilient Society (http://www.cpgis2021.com)
Abstract: WorldMap started in 2008 to enable researchers to more easily visualize, create, and share spatial data. At the time we were inspired by Google Maps and Google Earth which at the time were revolutionizing online mapping. Our goal was to put this new cartographic beauty, speed, and fluidity, into the hands of any researcher, to enable them to publish their owncontent this way. We were very idealistic. At the time there were no appropriate off-the-shelf platforms, so we built our own...
Partisan segregation among people has important political and social implications. Historically, measurement of partisan segregation has been limited to large geographic areas since researchers usually relied on analyzing data at aggregated levels. In this work, CGA along with the Department of Government has leveraged advances in geospatial data science to measure partisan segregation down to the level of an individual for 180 million U.S. voters. This presentation will highlight the creation of most detailed metrics to analyze partisanship within...
Abstract:Media regarding COVID-19 fatality counts is crucial, affecting policy and health measures nationwide. However, misinformation regarding other causes of death has led to dubious claims about the seriousness ...
Presenters: Phil Yang (Geroge Mason Univ.) and Wendy Guan (Harvard CGA)
On NASA Goddard IS&T Colloquium Lecture Series - Spring 2021
Abstract: The sudden outbreak of COVID-19 in 2019 changed every walk of our lives on the planet. To address the global crisis, the NSF spatiotemporal innovation...
CGA Annual Conference, Illuminating Space and Time in Data Science
Presenter: Devika Kakkar and Aaron Williams
In this workshop, we will show how CGA researchers are using MapD’s open-source, GPU-powered SQL database to provide true interactive access to NWM predictions for stream flow and ground saturation across the entire continental US, from present conditions to 18 days in the future.
