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 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. Led by Dr. Jeremy R. Porter, one of the highest-rated teachers at the Columbia University Mailman School of Public Health and the author of many celebrated geospatial analysis publications and books, this workshop will integrate lectures with hands-on application. The workshop emphasizes 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.
There is a limited capacity for the Boot Camp. Investigators at all career stages are welcome to attend, and we particularly encourage trainees and early-stage investigators to participate.
REQUIREMENTS: Each participant must bring a laptop with the software below loaded prior to the first day of the workshop. All of the following packages are available for free download and installation on Mac, PC, and Linux devices: QGIS, saTScan, GeoDa, R, R-Studio
Paid registration required through RegFox: https://columbia-workshops.regfox.com/2019-gis-workshop
More information about registration deadlines, fees, and logistics can be found on our website at https://www.mailman.columbia.edu/gis
Email us at [email protected]