WhereCOVID-19

WhereCOVID-19 notebooks map multi-scale spread of COVID-19 and assess related impacts by integrating diverse geospatial data, analysis, and modeling capabilities based on CyberGIS-Jupyter,
an innovative cyberGIS framework for conducting data-intensive, reproducible, and scalable geospatial analytics using Jupyter Notebooks as the primary user environment.

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4 notebook results COVID-19
Rapidly Measuring Spatial Accessibility of COVID-19 Healthcare Resources: A Case Study of Illinois, USA.

Posted by Admin CyberGISX on Wednesday May 27, 2020

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

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Spatial Correlation Analytics Between Population and COVID-19 Confirmed Cases in New York State

Posted by Admin CyberGISX on Tuesday March 31, 2020

This jupyter notebook demonstrates spatial correlation analytics between population and CVOID-19 Confirmed cases in New York State We are using New York State, the US as our study area And this ...

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COVID-19 Choropleth Maps

Posted by Admin CyberGISX on Tuesday March 31, 2020

In this notebook, we are doing a simple visualization creating Choropleth Maps at the county level For this example, we are using data released by Johns Hopkins University ...

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The Context Makes the Difference: Reproducibility and Replicability in Measures of Spatial Accessibility

Posted by Admin CyberGISX on Friday December 20, 2019

This notebook demonstrates a study on food accessibility addressing two research questions: 1) what is the service area of particular grocery stores and 2) what impact do individual user preferences ...

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