3. Micro Mapping Party Rapperswil 2014: Unterschied zwischen den Versionen

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Participant list:
Participant list:
# Stefan Keller (organizing team from [[Geometa Lab]] at IFS, HSR) together with <br/>Rafael Krucker and <br/>Tobias Schmitz  
# Stefan Keller (organizing team from [[Geometa Lab]] at IFS, HSR) together with <br/>Rafael Krucker and <br/>Tobias Schmitz - Team X
# Wang Kailong  
# Wang Kailong  
# Phan Cong Minh (Minh)
# Phan Cong Minh (Minh) - Team Green
# Chen Xianyao  
# Swarnima - Team Green
# Chen Xianyao (Chen)
# Hao Feng (Hao)
# Hao Feng (Hao)
# Swoo WEI Cheng  
# Swoo WEI Cheng  
# Liu Guanqun OLIVER
# Liu Guanqun OLIVER
# Zhang Ruzhuang  
# Zhang Ruzhuang  
# Marcel Amsler, HSR
# Daniel Kolb, HSR
# Qi Zhang
# Qi Zhang
# Rolf Furrer, HSR
# Rolf Furrer, HSR
# Rolf Hotz, Mapper?
# Rolf Hotz, Mapper - Team Yellow
# Swarnima
* Marcel Amsler, HSR
* Daniel Kolb, HSR
== Programm ==
== Programm ==

Version vom 23. Mai 2014, 13:51 Uhr

The GP-Team FS14
Bilder von der 1. Mapping Party 2009

23. May 2014, starting at 14:00h, Building 6 (entry hall/foyer 'Seegebäude', see OSM-Marker-Stele), HSR Hochschule für Technik Rapperswil .

 >> Emergyncy Phone of Prof. Stefan KELLER +41 79 377 74 20 <<

(Mappers pls. fill in your name at [1] (23. Mai only; man spricht auch Deutsch)).


  • What's the motto? "Mapping buildings and addresses in and around Rappi (and elsewhere)!"
  • When does it start: 23. May 2014, 14:00h
  • Where's the meeting point? Room/PC-Lab 6.004, Building 6, HSR Hochschule für Technik Rapperswil
  • Who's the organizer? User:Stefan (Prof. Stefan Keller from Geometa Lab at IFS, HSR)
  • Who participates? We expect a dozen people, mostly interns from Asia but also mappers from the surroundings.
  • What to bring along? Your GPS and/or your mobile device with fully charged batteries (don't forget the power charger). Drink and food are offered by the HSR

Participant list:

  1. Stefan Keller (organizing team from Geometa Lab at IFS, HSR) together with
    Rafael Krucker and
    Tobias Schmitz - Team X
  2. Wang Kailong
  3. Phan Cong Minh (Minh) - Team Green
  4. Swarnima - Team Green
  5. Chen Xianyao (Chen)
  6. Hao Feng (Hao)
  7. Swoo WEI Cheng
  8. Liu Guanqun OLIVER
  9. Zhang Ruzhuang
  10. Qi Zhang
  11. Rolf Furrer, HSR
  12. Rolf Hotz, Mapper - Team Yellow
  • Marcel Amsler, HSR
  • Daniel Kolb, HSR


Tentative(!) Program:

  • 14:00 : Arrival at Building 6, HSR Campus Rapperswil
  • 14:10 : Instructions
  • 14:55 : Mapping outdoor
  • 16:00 : Work on PC (Edit)
  • 18:00 : Barbecue at "Fäschtinsle" nearby!
  • ...until 20:20 sunset or open end.


What is OpenStreetMap?

See OpenStreetMap (OSM) Wiki. The statistics showing the continuous growth of OSM are just stunning.

What's a Mapping Party?

See [2] (Was ist eine Mapping Party? siehe Micro Mapping Party Rapperswil).

How to Map an Address?

  • To be a contributor to OpenStreetMap, firstly register to be an OSM user [3]
  • Addresses can be tagged with addr:housenumber=* and the other addr:* keys. Tags can be added to
    • isolated nodes
    • nodes that are parts of building polygons ( = entrance=*s )
    • building=* polygons
    • on polygons representing the perimeter of the site.
  • Buildings with multiple house numbers - There is currently no consensus on this but here are some possibilities:
    • Create an address node for each housenumber and place each node somewhere on the building outline (or inside the building).
    • Separate the numbers by commas (e.g., "11,13,15").
    • Specify the range (e.g., "10-95"). This is the preferred method when such a range is officially used for the entire house. You may also use **addr:interpolation=* to describe whether that includes odd, even or all numbers.

How to Map a Building?

  • A single building outline can be created for each building complex or 'block', which may relate to a single detached property, or to a row of individual terraced houses or to some more complex arrangement of properties. It is however better to create a series of linked outlines which share some nodes at the boundary to identify each distinct part of the property.
  • Buildings can simply be building=yes
  • If the building has an interior courtyard the use a Multipolygon relation to ensure that the courtyard is not rendered as part of the building.
    • Please consider adding house numbers nodes to buildings with tags in addr:*=*-Namespace:
 entrance=yes (if you know where the entrance is)

Why "Micro"...?

Micro has two meanings in this context: First, it's about a small party (usually it's about a weekend) - and second, it's about micromapping i.e. capturing of small scale features.