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Day1-1200-LT-Evaluation of the data update frequency and user interaction of OSM in Japan

sotm2017
September 01, 2017

Day1-1200-LT-Evaluation of the data update frequency and user interaction of OSM in Japan

Friday Lightning talk, Main hall
Toshikazu Seto, Nobusuke Iwasaki and Yuichiro Nishimura

http://2017.stateofthemap.org/2017/data-update-frequency-and-user-interaction/

sotm2017

September 01, 2017
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  1. 2017/08/18 State of the Map 2017 Lightning Talk 1 Evaluation

    of the data update frequency and user interaction of OSM in Japan: Case study of OSM-Note Toshikazu Seto, Nobusuke Iwasaki* and Yuichiro Nishimura
  2. 2017/08/18 State of the Map 2017 Lightning Talk 3 OSM

    “Notes” (地図メモ) • Notes is a core feature of the OpenStreetMap.org website for placing shared notes on the map to assist in mapping/editing OpenStreetMap. • Notes allow for two way communication, with the ability for a mapper to ask for more details if necessary. • Since 24th April, 2013.
  3. 2017/08/18 State of the Map 2017 Lightning Talk 4 Global

    Overview ©Pascal Neis (neis-one.org) Opened: 307,885 (28.25%) - Closed: 781,949 (71.75%) - Overall: 1,089,834 (12th, Aug. 2017)
  4. 2017/08/18 State of the Map 2017 Lightning Talk 5 1.

    Get Dump Files (.osn) • http://planet.openstreetmap.org/notes/planet-notes-latest.osn.bz2 • https://archive.org/details/osmdata 2. Convert to OSM file (osn2osm) • https://github.com/tbicr/osn2osm • 455,746,971 bytes(297,327 POIs in the World • Archived by 2017/7/12 • Only Extractable “Opened” Notes Methods 3. QGIS “QuickOSM” with customized osmconf.ini • osm_id, osm_version, osm_timestamp, osm_uid, osm_user, osm_changeset =yes • Need to Save .geojson (“name” tag is so long, because all comment text is included) Thank you for supported by Hiroshi KANASUGI (the University of Tokyo)
  5. 2017/08/18 State of the Map 2017 Lightning Talk 7 Open/Closed

    Note by Country Open Germany United States Russia France United Kingdom Japan (Rank 19)
  6. 2017/08/18 State of the Map 2017 Lightning Talk 8 OSM-Notes

    Distribution in Japan 2016/10: 400 (Opened) 2016/09: 419 (Opened)
  7. 2017/08/18 State of the Map 2017 Lightning Talk 9 OSM-Notes

    Distribution by Prefecture Hokkaido Tokyo Kanagawa Ishikawa Kyoto Osaka Hyogo
  8. 2017/08/18 State of the Map 2017 Lightning Talk 10 OSM-Notes

    Aggregation (User) Tokyo Kanagawa Kyoto Osaka
  9. 2017/08/18 State of the Map 2017 Lightning Talk 11 rank

    OSM user name count 1anonimous 2035 2aquila2 143 3nyampire 76 4yasunari 53 5Siegel007 52 6Mohican Azarashi 45 7shinji yamada 39 8yosii 36 9Daniel Haward 32 10Yojiro Nagahama Pastorius 27 rank OSM user name count 11Yuta Hisamori 26 12Shingo Okamoto 19 13シロクマ 18 14nmaxaki 17 15LeaPea 16 16silvan h 16 17masakanda 16 18michy9807 16 19しみ犬 16 20Albert Stone 15 OSM-Notes User Ranking ※Only for the total of users who first commented on Notes
  10. 2017/08/18 State of the Map 2017 Lightning Talk 12 OSM-Notes

    “version” in Japan version Count version Count 1 4,567 6 27 2 424 7 13 3 425 8 5 4 113 9 5 5 57 10 3 11 3 17 1
  11. 2017/08/18 State of the Map 2017 Lightning Talk 15 OSM-Notes

    input by “MAPS.ME” Distribution in Japan (41.3% of total)
  12. 2017/08/18 State of the Map 2017 Lightning Talk 17 OSM-Notes

    “anonymous” user Distribution in Japan (36.1% of total)
  13. 2017/08/18 State of the Map 2017 Lightning Talk 18 OSM-Notes

    discussed about “Facebook” in Japan (7.0% of total)
  14. 2017/08/18 State of the Map 2017 Lightning Talk 19 Findings

    and Issues • A lot of Notes find major cities such as Tokyo and Osaka with are also in Hokkaido and Ishikawa prefectures. • However, many of the users were “anonymous”. and there was a tendency to post bugs by MAPS.ME and Facebook. • The user interaction (Notes version) between the OSM mappers are still in a small. • To develop a method to extract “Closed” Notes. Used for analysis of GIS data and resolution period. • It is necessary to analyze the contents of the text deeply (text mining etc.).
  15. 2017/08/18 State of the Map 2017 Lightning Talk 21 Name

    tag= all comments of one Note (Another option: Convert “osmconvert” • http://wiki.openstreetmap.org/wiki/Osmconvert • osmconvert output170712.osm --all-to-nodes --csv="@id @lon @lat @version @timestamp @user @changeset name" --csv- headline --csv-separator=% -o=170712.csv • Need to save “geojson”