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X-WR-CALDESC:Events for USC Big Data Health Science Center
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DTSTART:20190101T000000
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DTSTART;TZID=UTC:20201029T100000
DTEND;TZID=UTC:20201029T113000
DTSTAMP:20260416T163527
CREATED:20200915T182834Z
LAST-MODIFIED:20200915T182835Z
UID:2429-1603965600-1603971000@bigdata.sc.edu
SUMMARY:Multivariate Spatial Data Analysis in GeoDa Workshop
DESCRIPTION:Workshop Description: Spatial data analysis and multivariate applications are increasingly needed to address complex\, geographically correlated phenomena. This workshop will cover spatial data handling in GeoDa\, exploratory spatial data basics of areal data (eg. choropleth maps\, parallel coordinate plots\, etc)\, and some advanced multivariate analysis. Participants will conduct a principal component analysis and k-means cluster analysis with spatial data\, mapping outcomes at each stage for additional exploration and understanding of regional dynamics. We will use relevant social determinants of health variables for the continental U.S. using 2018 5-year average Census data\, and calculate US-wide multidimensional indices and neighborhood typologies at the census tract scale. Participants should download GeoDa prior to the workshop (free and available for Mac\, Windows\, or Linux): https://geodacenter.github.io/download.html. Additional data and tutorials will be made available to participants prior to the workshop. \n  \n			\n				\n				\n				\n				\n				Register: This workshop is free and wil take place over Zoom. Register using the link below\, https://us02web.zoom.us/webinar/register/WN_4XiFRwMkTbS7uwwq_P0wZw \n  \n			\n				\n				\n				\n				\n				\n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				About the Speaker:Marynia Kolak\, MS\, MFA\, PhD\, ​is a health geographer and data scientist using open science tools and an exploratory data analytic approach to investigate issues of equity across space and time. Her research centers on how “place” impacts health outcomes in different ways\, for different people\, from opioid risk environments to chronic disease clusters. She focuses on quantifying and distilling the structural determinants of health across different environments\, tying socio-ecological models of public health with geocomputational methods and quasi-experimental policy evaluation techniques. \nShe received the 2017 Concordium Innovation Award at AcademyHealth for her open-source visualization of Chicago neighborhood health indicators\, and “Highest Impact” award in the Prevention Category at the American College of Cardiology 2019 conference for her work in connecting chronic disease rates with social determinants of health. She serves as the lead PI for the US Covid Atlas Project in part funded by the Robert Wood Johnson Foundation\, PI for two air quality “smart city” projects with the Chicago Department of Public Health\, Co-I for an NIH project investigating the opioid epidemic in rural Illinois\, and is the spatial analytic lead at the Methodology and Advanced Analytics Resource Center for the Justice Community Opioid Innovation Network (NIH HEAL Initiative). \nMarynia is the Assistant Director of Health Informatics and Senior Lecturer in GIScience at the Center for Spatial Data Science\, University of Chicago. She additionally serves as a Health and Medical Specialty Group (AAG) board member and is chair of the Chicago Public Health GIS Network. She received her Ph.D in Geography at Arizona State University\, M.F.A in Writing from Roosevelt University\, M.S. in GIS from John Hopkins University\, and B.S. in Geology from the University of Illinois at Urbana-Champaign.
URL:https://bigdata.sc.edu/event/multivariate-spatial-data-analysis-in-geoda-workshop/
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