This paper is in the following e-collection/theme issue:

Big Data (245) JMIR Theme Issue: COVID-19 Special Issue (2461) Theme Issue: Medical Informatics and COVID-19 (107) GIS (Geographic Information Systems) Applications in Public Health and Spatial Epidemiology (113) Public (e)Health, Digital Epidemiology and Public Health Informatics (750) eHealth Infrastructures (357)

Published on in Vol 10, No 4 (2022): April

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/35073, first published .
Investigating Health Context Using a Spatial Data Analytical Tool: Development of a Geospatial Big Data Ecosystem

Investigating Health Context Using a Spatial Data Analytical Tool: Development of a Geospatial Big Data Ecosystem

Investigating Health Context Using a Spatial Data Analytical Tool: Development of a Geospatial Big Data Ecosystem

Authors of this article:

Timothy Haithcoat1 Author Orcid Image ;   Danlu Liu1 Author Orcid Image ;   Tiffany Young1 Author Orcid Image ;   Chi-Ren Shyu1 Author Orcid Image
Article Authors Cited by (3) Tweetations (5) Metrics

Timothy Haithcoat   1 , MS ;   Danlu Liu   1 , MSc ;   Tiffany Young   1 , MSc ;   Chi-Ren Shyu   1 , PhD

1 Institute for Data Science and Informatics, University of Missouri, Columbia, MO, United States

Corresponding Author:

  • Chi-Ren Shyu, PhD
  • Institute for Data Science and Informatics
  • University of Missouri
  • 22 Heinkel Building
  • Columbia, MO, 65211
  • United States
  • Phone: 1 573-882-3884
  • Fax: 1 573-884-8709
  • Email: shyuc@missouri.edu