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 COVID-19
Spatial Accessibility to ICU Beds and Ventilators in Illinois

Posted by CyberGISX Admin on Monday August 23, 2021

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

Posted by Naomi Lazarus on Wednesday June 30, 2021

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

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 ...

2 notebook results Disability
Developing a Disability Vulnerability Dashboard

Authors: Jayajit Chakraborty and Katalina Salas, Socio-Environmental and Geospatial Analysis (SEGA) ...

COVID-19 and People with Disabilities

The first phase of my project focuses on the relationship between COVID-19 prevalence and people ...