Projects

Spatiotemporal pattern of COVID-19 spread in Brazil

In collaboration with Dr. Marcia Castro of the T.H. Chan Harvard School of Public Health, the CGA analyzed the pattern of spread of COVID-19 cases and deaths in Brazil from February to October 2020.  Weekly geographic centroids locations weighted by municipal COVID-19 case and death counts were created on the national and state level.  Visualizations were created of the centroid progression over time.  Read more in this ...

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COVID-19 Impact on Mortality of Various Causes in the United States

This project analyzed CDC published mortality data of a dozen major causes since 1999, and applied the Exponential Smoothing (ETS) algorithm to simulate the 2020 mortality rates per cause, per month and per state, assuming there was no COVID-19 pandemic. The difference between the simulated rates and the actual rates revealed COVID-19 impacts on mortality of various causes in the United States. Results are published in...

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RAPID: Building a Spatiotemporal Platform for Rapid Response to COVID 19

Sponsored by NSF, this project is to build a comprehensive data repository of virus cases, associated social and natural information from different resources for sustainable archive; share data with the research communities through smart data discovery capabilities with easy access; utilize the spatiotemporal computing infrastructure built in IUCRC STC for computational needs of COVID 19 research with online collaboration; develop workflows in collaboration with public health...

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COVID-19 Metrics for United States Congressional Districts

Nearly a year into the global pandemic, data on COVID-19 metrics for the United States Congressional Districts (CD) had not been readily available. Yet, having access to such data can substantially enhance the ability of elected officials and the constituents they represent to monitor and develop testing strategies and other measures to allow their districts to open safely.

Researchers at the ...

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Geotweet Archive v2.0

The Harvard Center for Geographic Analysis (CGA) maintains the Geotweet Archive, a global record of tweets spanning time, geography, and language. The primary purpose of the Archive is to make a comprehensive collection of geo-located tweets available to the academic research community.

The Archive extends from 2010 to the present and is updated daily. The number of tweets in the collection totals approximately 10 billion, and it is stored on Harvard University’s High...

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Measurement of partisan segregation for 180 million U.S. voters using advanced geospatial data science

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 Professor Ryan Enos and graduate student Jacob Brown have leveraged advances in geospatial data science to...

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Geographic Apportioning of Health Indicators for Policy Relevant Decision Making

For elected officials to best represent constituencies they serve, information must be presented and analyzed for the entire geographic extent of their constituency. Health indicators are often collected and reported at census geographies, or other units that do not conform to constituency boundaries. To address this lack of health data being reported at policy relevant geographies, the Harvard Center for Population and Development Studies Geographic Insights team (...

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U.S. Air Pollution Modeling

CGA created maps that display PM 2.5 and Ozone for the US by County from 2000 - 2012, which involved cross-tabulation of monitoring sites within  county boundaries.

Investigators:  Francesca Dominici and Christine Choirat, Department of Biostatistics, HSPH

Research Staff:  Fei Carnes, Jeff Blossom

...

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Out of Eden Walk

The Out of Eden Walk is a 21,000-mile journalistic endeavor to create a global record of human life at the start of a new millennium as told by villagers, nomads, traders, farmers, soldiers, and artists who rarely make the news.  Sponsored and hosted by National Geographic Society...

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WorldMap / Dataverse Integration

Dataverse and WorldMap have been integrated by adding APIs to both systems (Funded by the Boston Research Initiative)

Three types of Dataverse file:

  • Tables with columns containing latitude and longitude
  • Tables with a column of known codes which represent geometries, i.e.  Zip, Census, FIPs, etc.
  • Files of type “shapefile”, zip compressed.

For each of the 3 types one can:

  • Create data-driven map symbolization options
  • Obtain downloads in variety of spatial formats
  • ...
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