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.

3 notebook results
Spatial Accessibility to ICU Beds and Ventilators in Illinois
Author(s): Jeon-Young Kang, Alexander Michels, Fangzheng Lyu, Shaohua Wang, Nelson Agbodo, Vincent L. Freeman & Shaowen Wang

This aims to measure spatial access for people to hospitals in Illinois The spatial accessibiilty is measured by the use of an enhanced two-step floating catchment area (E2FCA) method (Luo & Qi, ...

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Geographically Weighted Regression (Part I): COVID 19 Incidence
Author(s): Naomi W. Lazarus, PhD

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

Geographically Weighted Regression (Part II): COVID 19 Mortality
Author(s): Naomi W. Lazarus, PhD

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 ...

2 blog post results Mortality
Story Map on COVID-19 Research
Story Map on COVID-19 Research

I have designed a story map summarizing the key findings of my GSF project that is concerned with ...

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 ...