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- 1. Applied Spatial DataScience: A Complete Workflow Lauren Bennett (she/her) Flora Vale (she/her) Alberto Nieto (he/him) esriurl.com/spatialstats
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- 4. What’s our goal? Understandhow new state policies will impact access to healthcare
- 5. So what’s ouranalysis question?
- 6. So what areour analysis questions? How will healthcare access change? • What were the travel times to women's healthcare clinics across the country before the recent Supreme Court decision? • How will those travel times change after the decision? • Where do people have the most cumulative burdens?
- 7. So what areour analysis questions? How will demand be redistributed? • What was the demand on women's clinics across the country before the Supreme Court decision? • How will demand change for remaining clinics after state laws go into effect?
- 8. What data dowe need?
- 9. What data dowe need? Locations of women’s clinics Locations of people
- 10. What data dowe have?
- 11. What data dowe have? Women’s clinics
- 12. What data dowe have? Census tract centroids
- 13. What do wereally need?
- 14. What do wereally need? Population weighted census tract centroids
- 15. How do weget it?
- 16. How do weget it? Block population data …so that we can calculate a population weighted mean center for each census tract and calculate a more representative distance from people to women’s clinics
- 17. Demo: Prepare Data Calculatepopulation-weighted mean center for each census tract
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- 19. Then what? • Calculatechanges in travel times resulting from state level policies (access) • Evaluate cumulative burden • Calculate changes in service area population for remaining clinics (demand)
- 20. “Ada Marie didwhat scientists do: She asked a small question, and then she asked two. And each of those led her to three questions more, and some of those questions resulted in four.” Andrea Beaty
- 21. • Define goal •Gather and prepare data • Evaluate access at the tract level • Evaluate cumulative burden • Evaluate demand at the clinic level Today’s analysis workflow
- 22. • Define goal •Gather and prepare data • Evaluate access at the tract level • Evaluate cumulative burden • Evaluate demand at the clinic level Today’s analysis workflow
- 23. Demo: Evaluate accessat the tract level • What were the travel times to women's healthcare clinics across the country before the recent Supreme Court decision? • How will those travel times change after the decision?
- 24. Demo: Evaluate CumulativeBurdens • Where do people have the most cumulative burdens? • % poverty • % no internet access • % no access to vehicles • % w/ insurance coverage • Travel time to nearest clinic
- 25. Demo: Evaluate demandat the clinic level • What was the demand on women's clinics across the country before the Supreme Court decision? • How will demand change for remaining clinics after state laws go into effect?
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- 27. • Define goal •Visualize and explore data • Gather and prepare data • Evaluate access at the tract level • Visualize and explore data • Evaluate demand at the clinic level • Visualize and explore data • Communicate results Today’s analysis workflow
- 28. esriurl.com/spatialstats TUESDAY_________________________________________ 1:45p Spatial DataScience: An Overview Room 146 B 3p Spatial Data Science: Data Engineering and Visualization Room 146 A 3p GeoAI: An Overview Room 146 B 4:15p ArcGIS Online: Spatial Analysis Room 146 B WEDNESDAY______________________________________ 8:30a Spatial Data Science: An Overview Room 151 B 11a Spatial Data Science: Data Engineering and Visualization Salon I 1:30p Spatial Statistics: Making Predictions Salon I 2:45p Spatial Statistics: Statistical Cluster Analysis and Space-Time Analysis Salon I 4p Creating Indices: Combining Variables to Make Better Decisions Salon I 5:15p Applying Spatial Data Science: A Complete Workflow Salon I Please fill out a course survey!!! lbuie@esri.com anieto@esri.com pryan@esri.com