DA4-3 - Logical models

You are currently viewing an archived version of Topic Logical Data Models. If updates or revisions have been published you can find them at Logical Data Models.

Author and Citation Info: 

DiBiase, D., DeMers, M., Johnson, A., Kemp, K., Luck, A. T., Plewe, B., and Wentz, E. (2006). Logical models. The Geographic Information Science & Technology Body of Knowledge. Washington, DC: Association of American Geographers. (2nd Quarter 2016, first digital).

Learning Objectives: 
  • Determine which relationships need to be stored explicitly in the database
  • Create logical models based on conceptual models and general data models using UML or other tools
  • Differentiate between conceptual and logical models, in terms of the level of detail, constraints, and range of information included
  • Evaluate the various general data models common in GIS&T for a given project, and select the most appropriate solutions
  • Distinguish between the incidental and structural relationships found in a conceptual model
  • Explain the various types of cardinality found in databases
  • Define the cardinality of relationships