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GIS Mapping Applications on iPad - Esri Map Automation with Python & Java Script
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GIS Mapping Applications on iPad - Esri Map Automation with Python & Java Script

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Presented by Lindsey Felton & Jeremy Coulson, Frederick County, in August 2012 at EPAN User Group Meeting.

Presented by Lindsey Felton & Jeremy Coulson, Frederick County, in August 2012 at EPAN User Group Meeting.

Published in: Technology

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Transcript

  • 1. Lindsey Felton, GIS AnalystJeremy Coulson, Webmaster Frederick County, VA
  • 2. Concept and Early Dev• What we had: the printed book.• What was asked: a digital book.• Page County for inspiration.• Chief problem: A mobile solution with no dependence on server technology, network connection, or OS capabilities.
  • 3. Why No Network?
  • 4. Map Creation• Data driven pages in ArcMap.
  • 5. Map Creation• Python script to export those maps to JPEGs.• Concern: Creating one HTML page for each map – 400+ maps! – is laborious and would make updates difficult.
  • 6. JavaScript to Select Images• Instead of one page for each image, we can use one page that loads any image requested.• Vastly simplifies updates and maintenance.• Example: link points to jpeg.html?s=map300.
  • 7. JavaScript to Select Images
  • 8. Street Indexes• To find a street by its name, we provide a list of streets with links to map book pages.• VB formats table in Excel to be saved as CSV.
  • 9. Street Indexes• Python script reads CSV and writes out a big HTML table.
  • 10. Street Indexes• The result is a table that loads in the browser with no need for server tech or network.
  • 11. First Version Delivered• We had built what we set out to build: a digital version of the printed map book.• We sent it to the fire chiefs and they seemed to have one overarching common desire: an address search.
  • 12. Address Search Sans Server• An address search with ASP.NET/SQL Server, PHP/MySQL, etc. would have been simple and quick. We had to remain independent of a server or network connection.• We tried jQuery plugins, HTML5 web storage, and other ideas that were all too complex or slow.• Final solution: a simple (and very long) JavaScript associative array.
  • 13. Address Search Sans Server• Again, we turned to Python to automate data processing and write our array.
  • 14. Address Search Sans Server• The array associates each address with a page number.
  • 15. Address Search Sans Server• Browsers on mobile devices process the resulting 1.2 MB JS file quickly.
  • 16. Second Version Delivered• New requests for functionality are taking us far beyond a simple digital version of a printed reference to a true navigational tool.• Directions, interactive map images, etc.• How to get data without network?• How to detect network serve content conditionally?
  • 17. Resources• Mapbook open source on GitHub: https://github.com/mrcoulson/Emergency- Responders-Mapbook• Python download: http://www.python.org/download/releases/3. 2.3/