GIS Workshop

Visualizing and Analyzing Health Data
10:00 am
4:30 pm
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Virtual, live-stream
Department of Environmental Health Sciences
SHARP Training Program
Open to the Public
The GIS Workshop is a two-day intensive workshop that will introduce participants to the fundamental concepts and hands-on techniques of health data visualization and analysis using publicly available open source GIS programs.

This two-day intensive course aims to introduce participants to the fundamentals of data visualization using the open-source QGIS program and building towards the introduction of foundational spatially-centered approaches to identifying relationships and associations among population and environmental variables. This workshop will integrate lectures with hands-on application, emphasizing the use of open-source software packages and publicly available environmental and demographic data as an example of potential applications of these data with spatially centered visualization and analytic techniques. The workshop is comprised of 4 components 1) visualization, 2) geo-processing, 3) cluster analysis, and 4) relationship identification. Within each component, a lecture is followed by an opportunity to put the methods learned into practice.

By the end of the workshop, participants will be familiar with the following topics:

-Principles of data visualization and analysis
-Sources and techniques for the acquisition and management of spatial data
-Methods and techniques for the visualization of spatial data
-Techniques for the identification of statistical spatial (and spatio-temporal) clusters
-Techniques for the incorporation of spatial information in more traditional regression methods of association and relationship identification among variables.

Investigators at all career stages are welcome to attend, and we particularly encourage trainees, students, and early-stage investigators to participate.

There are three prerequisites/requirements to attend this workshop:

1. Each participant must have an introductory background in statistics.
2. Each participant must be familiar and have a basic understanding of R.
3. Each participant must bring a laptop with QGIS, saTScan, GeoDa, R, and R-Studio downloaded and installed prior to the first day of the workshop. All of the packages listed are available for free download and installation on Mac, PC, and Linux devices. Personal laptops will be used for multiple workshop sessions.

If you have any specific questions about prerequisites/requirements, please email us.


Jeremy Porter, PhD, Mailman School of Public Health, Columbia University.
Joel Capellan, PhD, Mailman School of Public Health, Columbia University.

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Capacity is limited. Registration is required to attend.


GIS Workshop