High Performance Computing

Network Analysis on Geospatial Big Data in Brazil

Network Analysis is a commonly encountered problem in GIS. Researchers are increasingly working with big geospatial datasets that contain millions of records. At this scale, traditional GIS methods of network analysis fall short and new approaches are needed to analyze the data. In this blog, we describe the procedure we used for calculation of shortest drive distances between 3.5 Million patients and their nearest Hospital in Brazil. There are several tools for calculating the shortest distance calculator; most common among them are...

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Use of Social Media data to study Climate Change

Harvard CGA joined forces with MIT SUL in 2021 to use social media data to study the effects of climate change on people’s well being. To achieve this objective, we developed the Twitter Sentiment Global Index  (TSGI) dataset, an open dataset for monitoring Subjective Well-Being (SWB) globally. By applying Natural Language Processing techniques to our archive of 10 billion geotagged tweets...

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