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 Human Mobility
How would social distancing change the COVID-19 curve of community ...

The rapid development of the coronavirus (COVID-19) has prompted unprecedented global health ...

US_ODFlow_March
Mapping Human Mobility OD Flow Changes in the US during ...

Understanding dynamic human mobility changes and spatial interaction patterns at different ...