1. Census Geography: Maps & Apps Joe Germuska NewsApps Developer Chicago Tribune 0:00

2. Census Geographies http://www.census.gov/geo/www/geodiagram.pdf 1:30

3. SUMLEV 3:03

4. Key Summary Levels Block (~ 8M): basis for all tabulated data Block Group (~211K): smallest geography for which sample data is published Tract (~74K): relatively permanent; 1200-8000 people (optimum: 4000) County (3,143) State (52) Division (9) Region (4) Nation (1) (and then there are the “Island Areas”) 4:57

5. Other Groupings Place (7,438): Incorporated and Census Designated (CDP) County Subdivision (36,642) Core Based Statistical Areas (942) 7:20

6. Geographic Components about 100 different geographic components, with most focusing on urban/rural or metropolitan/non-metropolitan distinctions Nation Region Division State CBSA 9:00

7. TIGER Shapefiles 9:46

8. Shapefiles In addition to tabulation geographies: Roads Hydrography Landmarks Military Installations 10:40

9. Gazetteer Delimited text files provide IDs, names, area, centroid for: 111th Congressional Districts Census Tracts Counties County Subdivisions School Districts - Elementary, Secondary, Unified State Legislative Districts - Lower & Upper Places ZIP Code Tabulation Areas GeoID not always exact match for shapefile (prefix, etc) 11:10

10. Keep in Mind Geos can change between “vintages”: compare with caution. Consult “crosswalk” Know which geos are contained by larger geos and which can “overlap” Choose your summary level carefully 080 “Census Tract” ≠ 140 “Census Tract” Exercise extreme caution when aggregating to non-census geographies 11:50

11. Population Change Map 14:54

12. WNYC Map 15:28

13. Know Spokane 15:35

14. Options Chicago TribuneWNYC Spokesman- Review Tile Mill Google Fusion Tables GeoDjango + Google Maps 15:44

15. Tile Mill 16:17

16. Tile Mill Can be entirely hosted on any simple web server (Amazon S3) Tile generation can be slow, especially for close zoom levels Evolving rapidly, especially interactivity 18:14

17. Fusion Tables 19:33

18. Fusion Tables Can import KML for shapes, sometimes data More often, KML for shapes, then join with data Easy to embed 20:10

19. GeoDjango 21:02

20. GeoDjango Highly customizable Well-documented, healthy user community Hosting adds extra layer of complexity 21:37

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26. census.ire.org Browse and compare Correctly computed changes since 2010 Export as CSV, JSON, KML JSON available for web apps 26:30

27. Example JSON data http://…/15/1571550.jsonp* 27:12

28. You can join the fun CENSUS -L » http://www.ire.org/join/listserv.html CENSUS -L » http://www.ire.org/join/listserv.html https://github.com/ireapps/census 29:17

29. Questions? Links for this presentation: http://j.mp/muCTyM http://blog.apps.chicagotribune.com Twitter: @JoeGermuska @TribApps 32:07

30. Links Census Geographic Resources http://www.census.gov/geo/www/tiger/tgrshp2010/tgrshp2010.html http://www.census.gov/geo/www/2010census/gtc_10.html http://www.census.gov/geo/www/2010census/GTC_10.pdf Example Apps http://media.apps.chicagotribune.com/census-2010/population- change/index.html http://media.apps.chicagotribune.com/census-2010/population- change/index.html http://data.spokesman.com/census/2010/washington/ http://project.wnyc.org/census-maps/2010pop.html How-tos: http://blog.apps.chicagotribune.com/2010/02/17/quick-install-pythonpostgis- geo-stack-on-snow-leopard/ http://blog.apps.chicagotribune.com/2010/02/17/quick-install-pythonpostgis- geo-stack-on-snow-leopard/ http://blog.apps.chicagotribune.com/2011/03/08/making-maps-1/ http://blog.apps.chicagotribune.com/2010/02/17/hello-newsroom-a-simple- geodjango-application/ http://blog.apps.chicagotribune.com/2010/02/17/hello-newsroom-a-simple- geodjango-application/ http://www.ire.org/census/ https://github.com/ireapps/census http://www.ire.org/join/listserv.html 32:17