Geospatial mapping methods in RStudio to visualize healthcare data in Oregon
Institution
OHSU
Program/Major
MPH: Epidemiology
Degree
MPH
Presentation Type
Poster
Start Date
4-7-2020 2:16 PM
End Date
4-7-2020 2:21 PM
Rights
© Copyright the author(s)
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Persistent Identifier
https://archives.pdx.edu/ds/psu/33754
Subjects
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.
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.