georeferencing of rmca data

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Georeferencing of RMCA data An Tombeur HerpNET workshop Royal Museum for Central Africa December 2006

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Georeferencing of RMCA data. An Tombeur HerpNET workshop Royal Museum for Central Africa December 2006. Overview. RMCA data GIS processing Resources for georeferencing Visualization of localities Case identification Object digitization Error and extent calculation - PowerPoint PPT Presentation

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Page 1: Georeferencing of RMCA data

Georeferencing of RMCA data

An TombeurHerpNET workshopRoyal Museum for Central AfricaDecember 2006

Page 2: Georeferencing of RMCA data

Overview

RMCA data GIS processing

– Resources for georeferencing– Visualization of localities– Case identification– Object digitization– Error and extent calculation– Connection with specimens

Conclusion

Page 3: Georeferencing of RMCA data

RMCA data for HerpNET

RMCA will contribute its entire registered amphibian collection (ca. 200,000 specimens) to GBIF and HerpNET

ca. 3000 unique localities mainly from DRC, Burundi, Cameroon, Ivory Coast

and Togo stored in DataPerfect specimen records, linked with locality names

(stations) (collector’s coordinates)

Page 4: Georeferencing of RMCA data

RMCA data: processing

exported to spreadsheet georeferencing according to HerpNET

protocol:– checking of coordinates– addition of radius (maximum error distance)

Page 5: Georeferencing of RMCA data

GIS processing

use of GIS for georeferencing localities and calculation of extent and error

Page 6: Georeferencing of RMCA data

GIS processingStep 1: Resources

maps of DRC, Burundi, Rwanda (mostly 1:200,000)

scanned at 300 dpi detailed recording of map properties:

– scale– projection– datum

Page 7: Georeferencing of RMCA data

GIS processingStep 2: Visualization of localities

Georeferencing of the maps (ca. 5 reference points) with GIS

Use map as background layer Plotting of the (working) localities

Page 8: Georeferencing of RMCA data

Visualization of localitiesExample

Page 9: Georeferencing of RMCA data

GIS processingStep 3: Case identification

HerpNET locality types:– urban area– remote named place– near a named place– river– ...

different calculation of extent & error

each locality: identification of case

Page 10: Georeferencing of RMCA data

GIS processingStep 4: Object digitization

digitization of necessary objects according to case:– case code– station (locality) ID

Page 11: Georeferencing of RMCA data

GIS processing – object digitizationExample

Page 12: Georeferencing of RMCA data

GIS processingStep 5: Extent and error calculation

digitized objects coordinates & extent map specifications error programming of algorithms & output table

point and radius

Page 13: Georeferencing of RMCA data

Example extent calculation (1)Named place (I)

Named place on map

different types

different calculation of extent

Page 14: Georeferencing of RMCA data

Example extent calculation (1)Named place (II)

Page 15: Georeferencing of RMCA data

Example extent calculation (2)Voronoi approach (I)

Page 16: Georeferencing of RMCA data

Voronoi approach

Page 17: Georeferencing of RMCA data

GIS processingStep 6: Connection specimen records

connecting locality ID (with point and radius) with specimen data

export in desired format

Page 18: Georeferencing of RMCA data

Used software

georeferencing of maps, digitizing of objects: MapInfo Pro 7.8

programming error calculation: MapBasic 4 compatible with:

– QGIS– PostGIS

Page 19: Georeferencing of RMCA data

Conclusion

Advantages of GIS processing:– alternative extent & error calculations possible– more precise– in term: faster– easy correction of errors– geographic analysis

Page 20: Georeferencing of RMCA data

Thanks to:

Funding: HerpNET/MVZ Promotor (RMCA): Danny Meirte Co-promotor (RMCA): Patricia Mergen Technical support:

– MVZ: Carol Spencer, Aaron Steele– RMCA: Garin Cael, Bart Meganck, Frank Theeten