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Midterm next Wednesday

Prepare for your GIS midterm with this comprehensive guide covering major concepts, data models, analysis models, geodatabases, and barriers to data sharing. Study lecture materials, readings, and key terminology to excel in your exam.

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Midterm next Wednesday

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  1. Midterm next Wednesday

  2. Midterm • May start off with multiple choice • Bulk will be short answer/short essay • Lecture PPTs and your notes, readings in Longley et al., Zeiler • Will not include • Labs or Arc Marine exercise • Journal articles

  3. Major concepts • Representations • Object vs Field • Model, data model, analysis model • Data models • UML terminology, basic procedure from • Reality --> conceptual --> logical --> physical • Customized Arc GIS data models • For enterprise GIS • Analysis Models • Binary, ranking, rating, weighted rating

  4. Major concepts - cont. • Geodatabase • what it is, why it’s important • Topology, Spatial Analysis • what they are, why they are important, how they relate • Object orientation • Identity, inheritance, encapsulation • Data Sharing (barriers) • Desktop to Cloud Discussion

  5. Concepts of Data SharingLongley et al., Chapter 11

  6. NSDI ---> data.gov • Who needs to share data? • jurisdictions with common borders • jurisdictions in a region • private and public sectors • local, state, and Federal agencies • government and individuals

  7. NSDI ---> data.gov • State, local, private production of geospatial data • loss of Federal monopoly, patchwork • variable accuracy, level of detail • the WWW • everyone can be a producer, publisher, distributor of geospatial data • See GEO 465/565 lecture #6 • dusk.geo.orst.edu/gis/lec06.html#nsdi

  8. Barriers to Data Sharing (1) interoperability • will ArcGIS read Intergraph data? • find a common format that both can read • output into the common format • input the common format • is the common format the same as one of the GIS formats? • if yes, only one conversion is needed • if no, two conversions are needed • issues of format, syntax within ONE GIS

  9. Digital Line Graphs (DLGs) • vector topographic maps • 1:24,000, 1:100,000 ,1:10,000

  10. Govt Agency Data Formats • Digital Raster Graphics (DRGs) • raster topographic maps at 1:24,000 • Digital Elevation Models (DEMs) • raster elevation data • 90m, 30m, 10m • Oregon 10m DEMs from buccaneer.geo.orst.edu/dem

  11. Govt Agency Data Formats • Digital Orthophoto Quads (DOQs or DOQQs) • aerial photographs • camera orientation, terrain info. • raster images at 1m resolution • 6m positional accuracy at scale of 1:12000 • Imagery • satellites • Landsat, SPOT, SPIN, etc.

  12. National Data Sharing (cont.) • new high resolution commercial imagery • 1 m resolution • www.spaceimaging.com

  13. Barriers to Data Sharing (2) how to describe what you need • how to assess whether some data set fits the need?

  14. Describing Data • Metadata • Again, see GEO 465/565 lecture #6 • dusk.geo.orst.edu/gis/lec06.html#nsdi • ArcCatalog • graphic thumbnail • Tables • FGDC format metadata • ESRI format metadata • XML format metadata

  15. Issues with metadata? • potential complexity • can be larger than the data set! • investment to create • can be larger than the data set! • carrots and sticks • FGDC’s "don't duck metadata"

  16. Barriers to Data Sharing (3) retrieval - large spatial data sets (4) national security - e.g., impact of 9/11 (5) search engines • how to know where to look on the WWW? • SAPs know where to look (more on this soon) • National clearinghouse, www.data.gov • Regional and campus clearinghouses • www.geo.oregonstate.edu/ucgis/datasoft.html • Google

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