San Francisco Mapping Party Mar2009

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A mapping party in San Francisco, California

What are mapping parties?

Mapping parties are events where anyone can come and participate in the OpenStreetMap project. OpenStretMap is a free, open source map that can be contributed, edited and used by anyone anywhere. Mapping parties are social events where experienced and new mappers can meet to share and learn more about the project. The events are generally held in a public place, and allow time for discussion, mapping and editing. The event is open to all.

It's fun. It's free. You can help.

More about Mapping parties

Saturday: 11am - 4pm, Sunday: 1pm-5pm
11:00 am: Introduction to OpenStreetMap for beginners.
11:30 am-2:30pm/3pm: Mapping time (walking/biking/driving)
2:00pm -4:00 pm: Uploading and Editing Map Data with refreshments and discussion.
4:00pm: Social event- drinks and discussion for whoever is interested, at a nearby eatery
Sunday (later times): Same Schedule
  • If you own a GPS or laptop computer, please bring it along. If not, we will have GPS units to loan.


San Francisco Public Library Noe Valley Branch, 451 Jersey St. San Francisco, CA 94114

Transportation: BART to 24th St/Mission, Muni: 24, 48, J

Mapping objectives

To add more points-of-interest to the San Francisco map as well as tackle areas that still need mapping.

Mapping Party Suggestions

Please feel free to suggest locations and goals for this mapping event as well as future events.

Some ideas:

  • Shops, restaurants etc, and the general extent of the commercial district along 24th St.
  • GNIS data for schools, parks and churches has been uploaded recently, and needs fleshing out (churches need religion+denomination, etc)
  • Some of the streets up the east slope of twin peaks may be steps, or absent.
  • To the south, the Glen Park area has several unnamed roads, and a number of parks with little or no detail.
  • The extent and connections of the cycle lanes along San Jose Ave could be improved.
  • Mount Olympus (near 17th and Clayton) needs better street data (perhaps too far away).