Oliver Roick, Lukas Loos, Alexander ZipfVisualisierung raum-zeitlicherMetainformationen zu nutzer-generierten GeodatenEin ...
Neis, P.; Zielstra, D. & Zipf, A. (2012): The Street Network Evolution of Crowdsourced Maps:OpenStreetMap in Germany 2007–...
van Exel, M. (2011): A new OpenStreetMap visualization: Version contour Lines.URL: http://wp.me/pcUHq-5f
Trame, J. & C. Kessler (2011): Exploring the linage of Volunteered Geographic Information withheat maps. GeoViz, Hamburg, ...
Min/Max/Avg: ‣ Version number ‣ Number of Contributions per User ‣ Number of attributesSum: ‣ Attributes ‣ Features ‣ Cont...
Niederlande Datenimport                          Average number ofNumber of features        contributions per user   Avera...
Polen Digitalisierung einzelner Luftbilder
+
WorkflowProzessierung und Visualisierung
+                       2. process data      1. OSM importOSM                                      4. pull data           ...
Datenbankdesign
attribute_typesid: INTattribute: TEXTdescription: TEXT                               attributes                           ...
select  attribute_001.id,  attribute_001.cell_id,  attribute_001.value,  cells.the_geom,  attribute_types.attribute,  time...
Visualisierung
http://osmatrix.geoserver/wms/osmatrix/?  request=getMap&  layer=osmatrix:landuse_industrial&  viewparams=time:1296758206 ...
GetFeatureInfo"features": [   {      "name": "landuse_industrial",      "title": "Layer: landuse_industrial",      "attrib...
Die nächsten Schritte
Weitere Daten                OSM
Analysen
Hagenauer, J. & M. Helbich (2011): Mining urban land-use patterns from volunteered geographicinformation by means of genet...
Einfluss von Zellgröße und -form                                  ?
Danke.Fragen?Oliver RoickRuprecht-Karls-Universität Heidelberg   roick@uni-heidelberg.deInstitute of Geography            ...
Visualisierung raum-zeitlicher Metainformationen zu nutzer-generierten Geodaten
Visualisierung raum-zeitlicher Metainformationen zu nutzer-generierten Geodaten
Upcoming SlideShare
Loading in...5
×

Visualisierung raum-zeitlicher Metainformationen zu nutzer-generierten Geodaten

412

Published on

Published in: Technology, Business
0 Comments
0 Likes
Statistics
Notes
  • Be the first to comment

  • Be the first to like this

No Downloads
Views
Total Views
412
On Slideshare
0
From Embeds
0
Number of Embeds
0
Actions
Shares
0
Downloads
4
Comments
0
Likes
0
Embeds 0
No embeds

No notes for slide

Transcript of "Visualisierung raum-zeitlicher Metainformationen zu nutzer-generierten Geodaten"

  1. 1. Oliver Roick, Lukas Loos, Alexander ZipfVisualisierung raum-zeitlicherMetainformationen zu nutzer-generierten GeodatenEin technisches Framework
  2. 2. Neis, P.; Zielstra, D. & Zipf, A. (2012): The Street Network Evolution of Crowdsourced Maps:OpenStreetMap in Germany 2007–2011. Future Internet, 4(1), 1-21
  3. 3. van Exel, M. (2011): A new OpenStreetMap visualization: Version contour Lines.URL: http://wp.me/pcUHq-5f
  4. 4. Trame, J. & C. Kessler (2011): Exploring the linage of Volunteered Geographic Information withheat maps. GeoViz, Hamburg, Germany.
  5. 5. Min/Max/Avg: ‣ Version number ‣ Number of Contributions per User ‣ Number of attributesSum: ‣ Attributes ‣ Features ‣ Contributing usersArea: ‣ Buildings ‣ Landuse...
  6. 6. Niederlande Datenimport Average number ofNumber of features contributions per user Average version number
  7. 7. Polen Digitalisierung einzelner Luftbilder
  8. 8. +
  9. 9. WorkflowProzessierung und Visualisierung
  10. 10. + 2. process data 1. OSM importOSM 4. pull data 5. request information Postgres DB Map Server Client 3. create SLD
  11. 11. Datenbankdesign
  12. 12. attribute_typesid: INTattribute: TEXTdescription: TEXT attributes id: INT values: DOUBLE FK_attribute_types_id: INT times FK_valid (time.id): INT FK_expired (time.id): INT id: INT FK_cells_id: INT timestamp: DATETIMEcellsid: INTgeometry: GEOMETRY attribute_001 attribute_002 attribute_003
  13. 13. select attribute_001.id, attribute_001.cell_id, attribute_001.value, cells.the_geom, attribute_types.attribute, timesV.time AS timeValid, timesE.time AS timeExpiredfrom attribute_001left join cells on (attribute_001.cell_id = cells.id)left join times AS timesV on (attribute_001.valid = timesV.id)left join times AS timesE on (attribute_001.expired = timesE.id)left join attribute_types on (attribute_001.attribute_type_id = attribute_types.id)where (timesV.time <= to_timestamp(%dateV%) AND ((timesE.time > to_timestamp(%dateE%)) OR (timesE.time IS NULL)));
  14. 14. Visualisierung
  15. 15. http://osmatrix.geoserver/wms/osmatrix/? request=getMap& layer=osmatrix:landuse_industrial& viewparams=time:1296758206 [...]
  16. 16. GetFeatureInfo"features": [ { "name": "landuse_industrial", "title": "Layer: landuse_industrial", "attributes": { "id": "154777", "cell_id": "1166098", "value": "78863.060546875", "the_geom": "POLYGON (...)", "attribute": "landuse_industrial", "timevalid": "21.12.2011 00:00:00", "timeexpired": "26.03.2012 14:32:33" } }, {...}]
  17. 17. Die nächsten Schritte
  18. 18. Weitere Daten OSM
  19. 19. Analysen
  20. 20. Hagenauer, J. & M. Helbich (2011): Mining urban land-use patterns from volunteered geographicinformation by means of genetic algorithms and artificial neural networks. International Journalof Geographical Information Science. DOI:10.1080/13658816.2011.619501
  21. 21. Einfluss von Zellgröße und -form ?
  22. 22. Danke.Fragen?Oliver RoickRuprecht-Karls-Universität Heidelberg roick@uni-heidelberg.deInstitute of Geography twitter.com/oliverroickChair of GIScience slideshare.net/oliverroick
  1. A particular slide catching your eye?

    Clipping is a handy way to collect important slides you want to go back to later.

×