An introduction to the concept of map mashup applications, with an emphasis on creating your own at East Carolina Univeristy.

1. Mashups 101 Tony Miller, ITCS

2. Mashup Software Casserole A little of this, some of that, a whole lot of the other Taking existing page(s), service(s), data feed(s) and combining into something new

3. Finding Mashup Examples I Want to See Some

4. Google Maps Mania http://googlemapsmania.blogspot.com/ More mashups using Google Maps than you can shake a stick at

5. Google Lat Long Blog http://google-latlong.blogspot.com/ News + Mashups

6. Mashup Examples Exploring a Tiny Portion of the World of Mashups

7. Top 100 Twitter Users http://batchgeo.com/map/top-100-twitter-users

8. Top 100 Web Sites http://www.batchgeo.com/map/top-100-websites

9. NYT Census Map Data + Maps + Visualizations + Work = Joy http://projects.nytimes.com/census/2010/explorer?ref=censusbureau

10. Gas Buddy http://www.gasbuddy.com http://www.northcarolinagasprices.com/Greenville/index.aspx

11. Foursquare http://www.foursquare.com Social Networking Meets Geolocation

12. ECU Campus Map http://www.ecu.edu/campusmaps

13. ECU Computer Lab Map http://www.ecu.edu/campusmaps/computerlab.html

14. I Want One! http://maps.google.com Log in using Google/Gmail account Add points, lines, shapes, metadata Edit feature information using WYSIWYG editor Keep private, make public, collaborate with other users

15. That’s too Much Clicking Fusion Tables FTW http://www.google.com/fusiontables What? Use spreadsheet metaphor to add and import data Add location column to data Instant map!

16. But I Know JavaScript Use the Google Maps JavaScript API V3 Add a Fusion Tables layer Why? Configurability Control of rendering Where? http://myweb.ecu.edu/pirateid Start with: http://piratepanel.ecu.edu

17. But I Know Adobe Flash Google Maps API for Flash All your ActionScript knowledge can now be used

18. But I Know ArcGIS Take your information and export it as KML KML? Keyhole Markup Language XML syntax to define geographic annotation and visualization Importable into professional GIS tools Exportable from professional GIS tools

19. Lessons Learned Data needs to be clean Data needs to be normalized Nomenclature is important Collaboration reduces workload Crowdsourcing improves data Programming isn’t required

20. More Lessons Learned Mobile devices are important Device agnosticism is important Not everyone has a big monitor with Flash Not everyone has the latest browser

21. More More Lessons Learned Release early, release often Make friends with data owners Provide value to someone (any one!)

22. Contact Information @Lightningwhelk on Twitter millerf@ecu.edu http://blog.ecu.edu/sites/techtips