Title of Presentation

Geospatial mapping methods in RStudio to visualize healthcare data in Oregon

Institution

OHSU

Program/Major

MPH: Epidemiology

Degree

MPH

Presentation Type

Poster

Start Date

7-4-2020 2:16 PM

End Date

7-4-2020 2:21 PM

Persistent Identifier

https://archives.pdx.edu/ds/psu/33754

Keywords

Geospatial Mapping, Data Visualization, Spatial Access, Access to Healthcare

Abstract

Geospatial mapping is a technique used broadly by health researchers to visualize location-based data. This poster provides an overview of preliminary methods for geospatial mapping of healthcare data using RStudio, an open-sourced programming software. R packages such as Leaflet, Rayshader, and ggplot, were used to create several types of maps. In this mapping methodology, Oregon state healthcare zip code location data was used with indicator data such as insurance acceptance, clinic staff workforce information, and staffing numbers. This poster outlines examples of an approachable, reproducible and open-sourced methodology for geospatial mapping that can be used reliably by researchers to visualize health-related geographic data.

This document is currently not available here.

Share

Import Event to Google Calendar

COinS
 
Apr 7th, 2:16 PM Apr 7th, 2:21 PM

Geospatial mapping methods in RStudio to visualize healthcare data in Oregon

Geospatial mapping is a technique used broadly by health researchers to visualize location-based data. This poster provides an overview of preliminary methods for geospatial mapping of healthcare data using RStudio, an open-sourced programming software. R packages such as Leaflet, Rayshader, and ggplot, were used to create several types of maps. In this mapping methodology, Oregon state healthcare zip code location data was used with indicator data such as insurance acceptance, clinic staff workforce information, and staffing numbers. This poster outlines examples of an approachable, reproducible and open-sourced methodology for geospatial mapping that can be used reliably by researchers to visualize health-related geographic data.