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Georeferencing Introduction: Collaboration to Automation

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Presentation on theme: "Georeferencing Introduction: Collaboration to Automation"— Presentation transcript:

1 Georeferencing Introduction: Collaboration to Automation
John Wieczorek Museum of Vertebrate Zoology University of California, Berkeley

2 Georeferencing Collaborations Automation testing slide 2

3 Georeferencing Collaborations Automation testing slide 2

4 What is a georeference? testing slide 2

5 A numerical description of a place that can be mapped.
What is a georeference? A numerical description of a place that can be mapped. testing slide 2

6 A numerical description of a place that can be mapped.
What is a georeference? A numerical description of a place that can be mapped. testing slide 2 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, maxaximumDepthInMeters

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 A numerical description of a place that can be mapped.
What is a georeference? A numerical description of a place that can be mapped. testing slide 2

12 “Davis, Yolo County, California”
testing slide 2 Coordinates: 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 mapped and that describes the spatial extent of a locality and its associated uncertainties. testing slide 2

15 “bounding-box method”
“Davis, Yolo County, California” testing slide 2 Coordinates: Horizontal Geodetic Datum: NAD27 “bounding-box method”

16 “point-radius method”
“Davis, Yolo County, California” testing slide 2 Coordinates: 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 mapped and that describes the spatial extent of a locality and its associated uncertainties as well as possible. testing slide 2

18 “Davis, Yolo County, California”
testing slide 2 “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 uses point-radius representation of georeferences
MaNIS/HerpNET/ORNIS (MHO) Guidelines 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 testing slide 2

24 Collaborative Distributed Databases for Vertebrates

25 Collaborations testing slide 2

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 testing slide 2

29 Scope of the Problem for Natural History Collections
~2.5x109 records ~6 records per locality* ~14 localities per hour* testing slide 2 * 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* testing slide 2 ~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* testing slide 2 ~15,500 (7233) years * based on the MaNIS (ORNIS) Project

32 Georeferencing Collaborations Automation testing slide 2

33 MaNIS Georeferencing Calculator
Automation Combining the Best in Georeferencing GADM GeoLocate BioGeomancer testing slide 2 MaNIS Georeferencing Calculator

34 Global Administrative Boundaries:
GADM Global Administrative Boundaries:

35

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37 Georeferencing Calculator:


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