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John Wieczorek (for BGWG) Museum of Vertebrate Zoology University of California, Berkeley

BioGeomancer: Collaboration to Automation. John Wieczorek (for BGWG) Museum of Vertebrate Zoology University of California, Berkeley. Georeferencing. Collaborations. Automation. Georeferencing. Collaborations. Automation. What is a georeference?. What is a georeference?.

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John Wieczorek (for BGWG) Museum of Vertebrate Zoology University of California, Berkeley

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

  2. Georeferencing Collaborations Automation

  3. Georeferencing Collaborations Automation

  4. What is a georeference?

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

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

  7. What we have:Specimens with Textual Localities ID Species Locality 1 Lynx rufus Dawson Rd. N Whitehorse 2 Pudu puda cerca de Valdivia 3 Canis lupus 20 mi NW Duluth 4 Felis concolor Pichi Trafúl 5 Lama alpaca near Cuzco 6 Panthera leo San Diego Zoo 7 Sorex lyelli Lyell Canyon, Yosemite 8 Orcinus orca 1 mi W San Juan Island 9 Ursus arctos Bear Flat, Haines Junction

  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” Coordinates: 38.5463 -121.7425 Horizontal Geodetic Datum: NAD27 “point method”

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

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

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

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

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

  16. Method Comparison point easy to produce no data quality bounding-box simple spatial queries difficult quality assessment point-radius easy quality assessment difficult spatial queries shape complete representation complex

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

  27. Major Activities (expected Sep 2006): • Develop spatial data standards for biodiversity

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

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

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

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

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

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

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

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

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

  37. Automated Georeferencing:Feature Lookup

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

  39. Automated Georeferencing:Shape Generation Bounding-box Point-radius Shape

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

  41. BioGeomancer Workbench:Visual Georeference Editing

  42. BioGeomancer Workbench:Visual Georeference Editing

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

  44. BioGeomancer Workbench: Georeference Validation Elevation Geography Species Distribution

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

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

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

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

  49. http://www.biogeomancer.org

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