The Center for Geographic Analysis (CGA) was established in 2006 to support research and teaching across all disciplines in the University as they relate to geospatial technology and methods.Working with entities across Harvard, the CGA strengthens university-wide geographic information systems (GIS) infrastructure and services; provides a common platform for the integration of spatial data from diverse sources and knowledge from multiple disciplines; enables scholarly research that would use, improve or study geospatial analysis techniques; and improves the ability to teach GIS and geospatial data science at all levels across the University.
Combining consultation services, technical training, platform development and sponsored research, the Center enables a diverse range of research projects involving geospatial analysis. The GIS solutions offered range from general cartography and mapping, geographic data collection, big data processing and analysis, to spatial visualizations, web maps, and web services. The CGA also actively promotes geographic reasoning and the use of GIS in the Harvard curriculum.
(Source: https://gis.harvard.edu/about)
Current Priorities/Projects:
The CGA works with multiple researchers across many disciplines. A few examples of current projects:
Geo-tweet Archive v2.0 on Harvard High Performance Computing (HPC) infrastructure The first dataset to be hosted by CGA on the HPC is the Geo-tweet Archive. The CGA has been harvesting and archiving geo-located tweets since 2012, and this dataset has been recently merged with other tweet archives through a collaboration with the University of Salzburg. The resulting multi-billion record dataset is now within easy reach of a wide variety of data science tools.
GIS Research Services for the Children’s Respiratory and Environment Workgroup (CREW) research project. Services and collaboration performed include geocoding, map creation, GIS analysis and writing contributions toward manuscript publication, enriching cohort member locations with air pollution, climate, and other environmental factors, and enrichment of social demographic factors as needed.
Many more projects: https://gis.harvard.edu/research-portfolio
Featured Publications:
Challenges and opportunities of the spatiotemporal responses to the global pandemic of COVID-19. By Wendy Guan, et. al.
Developing and evaluating transit-based healthcare accessibility in a low- and middle-income country: A case study in Ulaanbaatar, Mongolia. By Junghwan Kim, Malinda Laituri, et. al.
COVID-19 metrics across parliamentary constituencies and districts in India. By Jeff Blossom, S.V. Subramanian, et. al.
More publications: https://gis.harvard.edu/cga-publications
Point Of Contact:
Dr. Wendy Guan, Executive Director
wguan@cga.harvard.edu
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