1. John Wieczorek (for BGWG) Museum of Vertebrate Zoology University of California, Berkeley BioGeomancer: Collaboration to Automation

2. Georeferencing Collaborations Automation

3. Georeferencing Collaborations Automation

4. What is a georeference?

5. A numerical description of a place that can be mapped. What is a georeference?

6. A numerical description of a place that can be mapped. What is a georeference? In other words…

7. IDSpeciesLocality 1Lynx rufusDawson Rd. N Whitehorse 2Pudu pudacerca de Valdivia 3Canis lupus20 mi NW Duluth 9Ursus arctosBear Flat, Haines Junction 4Felis concolorPichi Trafúl 5Lama alpacanear Cuzco 6Panthera leoSan Diego Zoo 7Sorex lyelliLyell Canyon, Yosemite 8Orcinus orca1 mi W San Juan Island What we have: Specimens with Textual Localities

8. What we want: Mapped, Georeferenced Localities

9. What is a georeference? A numerical description of a place that can be mapped.

10. “Davis, Yolo County, California” “point method” Coordinates: 38.5463 -121.7425 Horizontal Geodetic Datum: NAD27

11. What is an acceptable georeference? A numerical description of a place that can be mapped and that describes the spatial extent of a locality and its associated uncertainties.

12. “Davis, Yolo County, California” “bounding-box method” Coordinates: 38.5486 -121.7542 38.545 -121.7394 Horizontal Geodetic Datum: NAD27

13. “Davis, Yolo County, California” “point-radius method” Coordinates: 38.5468 -121.7469 Horizontal Geodetic Datum: NAD27 Maximum Uncertainty: 8325 m

14. What is an ideal georeference? A numerical description of a place that can be mapped and that describes the spatial extent of a locality and its associated uncertainties as well as possible.

15. “Davis, Yolo County, California” “shape method”

16. pointeasy to produce no data quality bounding-boxsimple spatial queries difficult quality assessment point-radiuseasy quality assessment difficult spatial queries shapecomplete representation complex Method Comparison

17. Georeferencing Collaborations Automation

18. Collaborative Distributed Databases for Vertebrates

19. Collaborations

20. MaNIS Localities Georeferenced n = 326k localities (1.4M specimens) r = 14 localities/hr (point-radius method) t = 3 yrs (~40 georeferencers)

21. Scope of the Problem for Natural History Collections

22. Scope of the Problem for Natural History Collections ~2.5 Giga-records

23. Scope of the Problem for Natural History Collections ~2.5 Giga-records ~6 records per locality* ~14 localities per hour* * based on the MaNIS Project

24. Scope of the Problem for Natural History Collections ~2.5 Giga-records ~6 records per locality* ~14 localities per hour* ~15,500 years * based on the MaNIS Project

25. Georeferencing Collaborations Automation

26. Combining the Best in Georeferencing GeoLocate DIVA-GIS MaNIS Georeferencing Calculator BioGeomancer Classic

28. Major Activities (expected Sep 2006): 1)Develop spatial data standards for biodiversity

29. Major Activities (expected Sep 2006): 1)Develop spatial data standards for biodiversity 2)Assemble relevant spatial data

30. Major Activities (expected Sep 2006): 1)Develop spatial data standards for biodiversity 2)Assemble relevant spatial data 3) Further develop existing desktop applications

31. Major Activities (expected Sep 2006): 1)Develop spatial data standards for biodiversity 2)Assemble relevant spatial data 3) Further develop existing desktop applications 4) Create workbench for automated georeferencing, editing, and validating

32. BioGeomancer Workbench Automated Georeferencing Visual Georeference Editing Georeference Validation Outlier Detection

33. BioGeomancer Workbench Automated Georeferencing Visual Georeference Editing Georeference Validation Outlier Detection

34. BioGeomancer Workbench: Automated Georeferencing Text Interpretation Feature Lookup Shape Generation

35. BioGeomancer Workbench: Automated Georeferencing Text Interpretation Feature Lookup Shape Generation

36. Automated Georeferencing: Text Interpretation “Between Albuquerque and Moriarity” Locality Type: BF (Between Features) Feature1: Albuquerque Feature2: Moriarity

37. BioGeomancer Workbench: Automated Georeferencing Text Interpretation Feature Lookup Shape Generation

38. Automated Georeferencing: Feature Lookup

39. BioGeomancer Workbench: Automated Georeferencing Text Interpretation Feature Lookup Shape Generation

40. Automated Georeferencing: Shape Generation Bounding-boxPoint-radius Shape

41. BioGeomancer Workbench Automated Georeferencing Visual Georeference Editing Georeference Validation Outlier Detection

42. BioGeomancer Workbench: Visual Georeference Editing

44. BioGeomancer Workbench Automated Georeferencing Visual Georeference Editing Georeference Validation Outlier Detection

45. BioGeomancer Workbench: Georeference Validation Elevation Geography Species Distribution

46. BioGeomancer Workbench Automated Georeferencing Visual Georeference Editing Georeference Validation Outlier Detection

47. BioGeomancer Workbench: Outlier Detection Elevation Environment Species Distribution Model

48. Beyond 1 September 2006 Seek Industry Support for Data Layers Develop Workbench into Collaboratories Develop Locality Interpretation in Additional Languages

49. Why do all of this? So that those who generate and care for the data can realize and share its potential.

50. http://www.biogeomancer.org