Geospatial Fellows

The Geospatial Fellows come from varied professional, cultural, and institutional backgrounds, representing a number of disciplinary areas. The fellowship projects are supported by the National Science Foundation with a particular focus on pressing COVID-19 challenges tackled through cyberGIS and geospatial data science approaches, including for example geospatial AI and deep learning, geovisualization, and advanced methods for analyzing geospatial data.

1 notebook results mortality
Geographically Weighted Regression (Part II): COVID 19 Mortality

Posted by Naomi Lazarus on Wednesday June 30, 2021

This notebook provides the code for running a Geographically Weighted Regression (GWR) using COVID-19 death-case ratios as the dependent variable and independent variables representing age and ...

3 notebook results Cybergis
Reflections on the Geospatial Fellowship program
Reflections on the Geospatial Fellowship program

My experience working on the GSF project has been very rewarding and enjoyable I liked the ...

Bottom-up approach to epidemic modeling and access to high-performance computing infrastructure
Bottom-up approach to epidemic modeling and access to high-performance computing ...

Epidemic modeling is to build models to represent, characterize, and simulate the spread of an ...

COVID-19 Incidence and Mortality maps

For my GSF project, I will be conducting a county-level assessment of COVID-19 in relation to age ...