2020 Dates: Live-stream, online training July 27-28, 2020; 10:00am - 4:30pm EDT
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. 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.
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.
PREREQUISITES & REQUIREMENTS
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 be 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.
INSTRUCTORS:
Jeremy Porter, PhD, Mailman School of Public Health, Columbia University. Dr. Porter is a Lecturer in the Environmental Health Sciences Department with his primary duties being associated with teaching and advising in the area of Public Health GIS and Spatial Statistics. Additionally, he is a Professor at the City University of New York and holds appointments in multiple departments and institutes throughout the university, where he is currently the Chair and Director of the Quantitative Methods in the Social Sciences Department at the CUNY-Graduate Center. He regularly serves in consulting capacities with a number of government, non-profit, and for-profit entities on research exclusively focused on the development and implementation of spatial methods.
Joel Capellan, PhD, Mailman School of Public Health, Columbia University. Dr. Capellan is an Adjunct Professor in the Environmental Health Sciences Department, and is also an Assistant Professor of Law and Justice Studies at Rowan University. Substantively, Dr. Capellan specializes in mass casualty events and lone-actor violence. Methodologically, he specializes in spatial data analysis and multi-level modeling.
SCHOLARSHIPS
Scholarships are available for the GIS Workshop.