CGA aims to empower researchers by enabling the execution of geospatial big data/data science projects across diverse use cases. As a part of this effort, we have developed a series of products and solutions to make geospatial analytics faster, cheaper and more effective for researchers. The Center for Geographic Analysis (CGA) at Harvard University, established in 2006, is dedicated to supporting research and teaching across all disciplines related to geospatial technology and methods.
Leveraging resources from the New England Research Cloud (NERC) and the Faculty of Arts and Sciences Research Computing (FASRC), this project aims to make geospatial analytics more efficient, cost-effective, and accessible. These efforts have led to the development of unique applications like RINX 2.0, RapidRoute, Optipath, and the Billion Object Platform (BOP). These tools have significantly improved data analysis and visualization capabilities, yielding practical insights for various academic fields.
Geospatial Infrastructure Enhancement Objective, Approach and method outline