slide1 n.
Download
Skip this Video
Loading SlideShow in 5 Seconds..
Dave Bloom Museum of Vertebrate Zoology University of California, Berkeley PowerPoint Presentation
Download Presentation
Dave Bloom Museum of Vertebrate Zoology University of California, Berkeley

Loading in 2 Seconds...

play fullscreen
1 / 36

Dave Bloom Museum of Vertebrate Zoology University of California, Berkeley - PowerPoint PPT Presentation


  • 76 Views
  • Uploaded on

Georeferencing Introduction: Collaboration to Automation. Dave Bloom Museum of Vertebrate Zoology University of California, Berkeley. Georeferencing. Collaborations. Automation. Georeferencing. Collaborations. Automation. What is a georeference?. What is a georeference?.

loader
I am the owner, or an agent authorized to act on behalf of the owner, of the copyrighted work described.
capcha
Download Presentation

Dave Bloom Museum of Vertebrate Zoology University of California, Berkeley


An Image/Link below is provided (as is) to download presentation

Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author.While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server.


- - - - - - - - - - - - - - - - - - - - - - - - - - E N D - - - - - - - - - - - - - - - - - - - - - - - - - -
    Presentation Transcript
    1. Georeferencing Introduction: Collaboration to Automation Dave Bloom 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:Localities we can read 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. Darwin Core Location Terms • higherGeography • waterbody, island, islandGroup • continent, country, countryCode, stateProvince, county, municipality • locality • minimumElevationInMeters, maximumElevationInMeters, minimumDepthInMeters, maximumDepthInMeters

    9. What we want:Localities we can map

    10. Darwin Core Georeference Terms • decimalLatitude, decimalLongitude • geodeticDatum • coordinateUncertaintyInMeters • georeferencedBy, georeferenceProtocol • georeferenceSources • georeferenceVerificationStatus • georeferenceRemarks • coordinatePrecision • pointRadiusSpatialFit • footprintWKT, footprintSRS, footprintSpatialFit

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

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

    13. Data Quality • data have the potential to be used in ways unforeseen when collected. • the value of the data is directly related to the fitness for a variety of uses. • “as data become more accessible many more uses become apparent.” – Chapman 2005 • the GBIF Best Practices (Chapman and Wieczorek 2006) promote data quality and fitness for use.

    14. 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.

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

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

    17. 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.

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

    19. “20 mi E Hayfork, California” “probability method”

    20. 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 accurate representation complex, uniform probability accurate representation complex, non-uniform

    21. MaNIS/HerpNET/ORNIS (MHO) Guidelines http://manisnet.org/GeorefGuide.html • uses point-radius representation of georeferences • circle encompasses all sources of uncertainty about the location • methodology formalizes assumptions, algorithms, and documentation standards that promote reproducible results • methods are universally applicable

    22. Darwin Core Georeference Terms • decimalLatitude, decimalLongitude • geodeticDatum • coordinateUncertaintyInMeters • georeferencedBy, georeferenceProtocol • georeferenceSources • georeferenceVerificationStatus • georeferenceRemarks • coordinatePrecision • pointRadiusSpatialFit • footprintWKT, footprintSRS, footprintSpatialFit

    23. Georeferencing Collaborations Automation

    24. Collaborative Distributed Databases for Vertebrates

    25. Collaborations

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

    27. ORNIS Localities Georeferenced n = 267k localities (1.4M specimens) r = 30 localities/hr (point-radius method) t = 2 yrs (~30 georeferencers)

    28. Scope of the Problem for Natural History Collections ~2.5x109 records

    29. Scope of the Problem for Natural History Collections ~2.5x109 records ~6 records per locality* ~14 localities per hour* * based on the MaNIS Project

    30. Scope of the Problem for Natural History Collections ~2.5x109 records ~6 records per locality* ~14 localities per hour* ~15,500 years * based on the MaNIS Project

    31. Scope of the Problem for Natural History Collections ~2.5x109 records ~6 records per locality* ~14 (30) localities per hour* ~15,500 (7233) years * based on the MaNIS (ORNIS) Project

    32. Georeferencing Collaborations Automation

    33. Automation Combining the Best in Georeferencing GADM GeoLocate MaNIS Georeferencing Calculator

    34. GADM Global Administrative Boundaries:

    35. http://www.museum.tulane.edu/geolocate

    36. Georeferencing Calculator: