Geospatial World Views in GIS-T

1. Geospatial World Viewsin GIS-T Martin Staudinger Inst. for Geoinformation Technical University Vienna GeoPo 2000 Podersdorf, Austria 29.-30.6.2000

2. GIS-T: GIS for Transportation US, 1996 • Private persons: $600 billion commuting to work, travelling for pleasure, buying and operating vehicles • Private companies: $500 billion shipping products, sending employees to meet costumers and suppliers, buying and operating vehicles • Local, state, and federal governments: $1.3 trillion (17% of GDP) transportation infrastructure and services  = ATS 34.500.000.000.000,- / € 2.500.000.000.000 2/16

3. The Geospatial World View Feature with Geometry Coverages 3/16

4. Features with Geometry • Point, lines, polygons, and other geometric primitives • Feature types • Example: Road segments • Feature typesare associated with (a list of) attributes • number of lanes, width, restrictions, tolls, pavement or rail conditions 4/16

5. The Concept of Coverages • »Metaphors for phenomena on or near the earth‘s surface« • A view of a more complex space of geographic features • Represent a single feature or a set of features • Example: • segmented line coverage 5/16

6. » Feature without geometry « • Topological view: Transportation network =Graph with links and nodes • Lengths as attribute • Planar or non-planar? • Example: Crossing without intersection • Administrative information 6/16

7. Location Reference System(s) • 2D map system • duple of coordinates • used for data visualisation • integration of other data • Linear reference system • distance along the feature • realignment = change of datum • » moving geometry « • Transformation? 7/16

8. Example: Real World 8/16

9. Example: Geospatial World View 9/16

10. Example: DLM 10/16

11. GDF Geographic Data Files • Conceptual datamodel • Catalogue of features, attributes, and relationships • Physical exchange format • Independent of • resolution • representation • quality (accuracy, completeness, connectivity) • feature set • attribute set • relationships 11/16

12. GDF Data Model Structure • Level 0 • Cartographic primitives • Level 1 • Identification of simple features • Level 2 • Generalisation level • Complex features • Embedding of Administrative information 12/16

13. Level 1 Road Element Junction Level 2 Road Intersection Real World 13/16

14. starts at bounds bounds starts at Ferry Road (ID) (ID) ends at bounds bounds ends at Inter- section (ID) X Is part of contains Is part of contains Is part of contains Is part of contains bounds starts at starts at bounds Ferry Road Junction Connection Element bounds ends at (ID) (ID) (ID) ends at bounds Address bounds starts at Area Boundary Element (ID) bounds ends at contains is part of contains is part of is bound by bounds Aggre- gated way (ID) Address Area (ID) 14/16

15. Conclusion • Data integration has the problem of different world views • Therefore needs a transformation between those world views • Transformation needs datum, “ellipsoid” • Use GDF as “ellipsoid” • “Pass point” = unique idendification of elements • Transformation parameters and algorithms? 15/16

16. Contact Martin StaudingerInstitute for GeoinformationTechnical University ViennaGusshausstr. 27-29A-1040 Vienna staudinger@geoinfo.tuwien.ac.athttp://www.geoinfo.tuwien.ac.at f = 48°16´15´´29l = 33°57´41´´06 east (Ferro)The first building on the right after entering Gusshausstrasse from Favoritenstrasse 16/16