Exploring Data Preparation and Visualization Tools for Urban Forestry

739
-1

Published on

This webinar was held on December 12, 2012 and provided an overview of free and low-cost tools for cleaning and preparing data and building useful and beautiful data visualizations.

Published in: Technology
0 Comments
1 Like
Statistics
Notes
  • Be the first to comment

No Downloads
Views
Total Views
739
On Slideshare
0
From Embeds
0
Number of Embeds
0
Actions
Shares
0
Downloads
0
Comments
0
Likes
1
Embeds 0
No embeds

No notes for slide

Exploring Data Preparation and Visualization Tools for Urban Forestry

  1. 1. Exploring Data Preparation and Visualization Tools for Urban Forestry 340 N 12th St, Suite 402 Philadelphia, PA 19107 215.925.2600 info@azavea.com www.azavea.com/opentreemap
  2. 2. About Us Deborah Boyer OpenTreeMap Project Manager dboyer@azavea.com 215.701.7506 Jeremy Heffner Product Manager jheffner@azavea.com 215.701.7712
  3. 3. About Azavea• Founded in 2000• B Corporation• 30+ people• Based in Philadelphia – Boston office• Geospatial + web + mobile – Software development – Spatial analysis services – User experience
  4. 4. Agenda• The Ideal: Gathering Organized, Perfect Data• The Reality: Cleaning and Preparing Your Data• Adding Context• Exploring, Preparing and Sharing Data Visualizations• Questions
  5. 5. Gathering Data
  6. 6. An open source tree data management systemfor collaborative, geography enabled urban tree inventory
  7. 7. Main Features• Search and Explore Tree Data• View Ecosystem Benefits• Add New Trees• Edit and Update Trees• Upload Tree Photos• Track Stewardship Activities
  8. 8. Data Quality Checks• Remove duplicate trees during data upload• Tree watch list• Drop down lists• User groups• Reputation points
  9. 9. Cleaning and Preparing Data
  10. 10. Data Cleaning: Your Questions• At what point in the data maintenance process do you find yourself cleaning data?• Are there ways that you would like to improve the workflow?
  11. 11. Cleaning & Preparing Data• Making sense of data starts at the point of collection – Define what you want to measure / track • Clearly define schema and fields – Have a shared meaning for values – Data validation on entry – Collect your data – Examine results • Are there common mistakes you could prevent? • Are there different interpretations of fields? – Close the feedback loop & iterate
  12. 12. Cleaning & Preparing Data• Common data quality issues – Combined fields • Address: “340 N 12th St, Suite 402 , Philadelphia, PA 19107” – Invalid entries • ZIP code: 1234 (length check, is number) • Age: 204 (reasonable range check, is number) – Format variations • State: PA vs. Pennsylvania (drop down or scrubbing rules) – Duplicates • CRM: John Smith with old and new addresses
  13. 13. Cleaning & Preparing Data Not a reasonable option
  14. 14. What does this have to do with trees?• We track things - tree inventories, potential planting sites, community groups, people who requested trees, etc .• Data comes from lots of places - web forms, collected by various staff, submitted by community groups.• None of it matches.• Good data makes our lives easier.
  15. 15. Cleaning & Preparing Data• Tools to clean tabular data – Excel (or open source equivalent) • Pros: – Broad features – Widely utilized / common skill – Formulas / sorting / flexible • Cons: – Doesn’t understand record concept – Mass changes can be tedious
  16. 16. Cleaning & Preparing Data• Tools to clean tabular data – DataWrangler • http://vis.stanford.edu/wrangler/ • Pros: – Focused on transforming data into relational format – Live previews • Cons: – Alpha quality version – Data size limits / online tool – Can be difficult to figure out what set of transforms are needed
  17. 17. Cleaning & Preparing Data• Tools to clean tabular data – Google Refine • http://code.google.com/p/google-refine/ • Pros: – Understands record concept – Formulas / Facets – Undo capability – Windows / Mac / Linux • Cons: – There is a learning curve – Unusual type of app » Download, unzip, run exe file, access through browser
  18. 18. Demo
  19. 19. Assembling Data and Building Context
  20. 20. Context: Your Questions• What challenges have you faced putting your data in context?• Are you struggling to identify what “context” means for your organization?• Do you know what data you’d like to use, but have trouble finding it?
  21. 21. Your Data in Context• Your data is essential!• But it is more meaningful in context… – Ratios & rates • Service level • Market penetration – Indicators & trends • How you compare – Targeting • Key demographics Juice Analytics • Custom summaries
  22. 22. What does this have to do with trees?• Trees don’t exist in a vacuum.• Contextual data = more effective outreach.• More info gives you new insights.
  23. 23. Making Sense of the Census• American FactFinder• http://factfinder2.census.gov – Decennial Census • Every 10 years • Full population survey • Just 10 questions – American Community Survey (ACS) • Monthly sample • Aggregated over different time periods (1-, 3- and 5-year) • Extremely detailed questions • Subject to sampling error
  24. 24. FactFinder Frustrations
  25. 25. Helpers: Social Explorer• http://www.socialexplorer.com/• Data Dictionary – Survey – Dataset – Table – Variable – Formula – Population
  26. 26. Helpers: Social Explorer• Background – Key Terms – Collection Methodology – Uses & applications
  27. 27. Helpers: ACS Alchemist• https://github.com/azavea/acs-alchemist • Retrieval of block group-level data• Custom variable selection• Delivery in spatial data format ready for mappingThis tool was developed by Azavea in collaboration with Jerry Ratcliffe and Ralph Taylor of TempleUniversity Center for Security and Crime Science. This project was supported by Award No. 2010-DE-BX-K004, awarded by the National Institute of Justice, Office of Justice Programs, U.S. Department of Justice.
  28. 28. Helpers: ACS AlchemistAs easy as 1-2-31.Create a document with your selected variables
  29. 29. Helpers: ACS AlchemistAs easy as 1-2-31.Create a document with your selected variables2.Pick your geographies
  30. 30. Helpers: ACS AlchemistAs easy as 1-2-31.Create a document with your selected variables2.Pick your geographies and geolevels3.Retrieve your shapefiles
  31. 31. Other Sources• Public data – Open Data Portals • Federal, state & local data – Political Data • Voter data • Legislative boundaries• Commercial data – Population Projections – Consumer Data
  32. 32. Data Visualizations
  33. 33. Data Visualization: Your Questions• Do you currently share data with your constituents?• Where do you use data visualizations (e.g. annual report, embedded infographics, live data trackers)?• Do you currently map your data?
  34. 34. What does this have to do with trees?• Charts, graphs, maps, and photos help us tell a story.• Show that trees are more than just leaves and branches.• Explore the science without making people’s eyes glaze over.
  35. 35. Exploring Data• Visualization tools – Tableau • http://www.tableausoftware.com/ • Pros: – Flexible interface makes data exploration easy – Fast even on large data sets • Cons: – Easy to visualize something that doesn’t make sense to look at – Price (for desktop tool)
  36. 36. Demo
  37. 37. Exploring Data• Visualization tools – GeoCommons (GeoIQ) • http://geocommons.com/ • Pros: – Intuitive interface – Analysis tools – Geocoding for up to 5,000 records – Supports KML (Google Maps) import & export • Cons: – US-only geocoding
  38. 38. Exploring Data• Desktop GIS: Proprietary – Esri ArcGIS • Pros: – Industry standard – Many tools – Extensive training materials – Customer support • Cons: – Windows only – Potentially expensive * *
  39. 39. Exploring Data• Visualization tools – ArcGIS Explorer online • http://www.arcgis.com/explorer/ • Pros: – Supports many data formats – Online digitizing – Integration with other Esri services – Presentation view / mobile app • Cons: – Can’t export geocoded results – Geocoding limited to 250 records
  40. 40. Demo
  41. 41. Exploring Data• Desktop GIS: Open Source– Quantum GIS (QGIS)– GRASS– uDig • Pros: – Free – Multi-platform (Windows, Mac OS, Linux) • Cons: – Limited functionality (for advanced users) – Community-based support
  42. 42. Questions?
  43. 43. Contact Us Deborah Boyer OpenTreeMap Project Manager dboyer@azavea.com 215.701.7506 Jeremy Heffner Product Manager jheffner@azavea.com 215.701.7712
  44. 44. Exploring Data Preparation and Visualization Tools for Urban Forestry 340 N 12th St, Suite 402 Philadelphia, PA 19107 215.925.2600 info@azavea.com www.azavea.com/opentreemap

×