- Define terms related to topology (e.g., adjacency, connectivity, overlap, intersect, logical consistency)
- Describe the integrity constraints of integrated topological models (e.g., POLYVRT)
- Discuss the historical roots of the Census Bureau’s creation of GBF/DIME as the foundation for the development of topological data structures
- Explain why integrated topological models have lost favor in commercial GIS software
- Evaluate the positive and negative impacts of the shift from integrated topological models
- Discuss the role of graph theory in topological structures
- Exemplify the concept of planar enforcement (e.g., TIN triangles)
- Demonstrate how a topological structure can be represented in a relational database structure
- Explain the advantages and disadvantages of topological data models
- Illustrate a topological relation
Data management involves the theories and techniques for managing the entire data lifecycle, from data collection to data format conversion, from data storage to data sharing and retrieval, to data provenance, data quality control and data curation for long-term data archival and preservation.
Topics in this Knowledge Area are listed thematically below. Existing topics are in regular font and linked directly to their original entries (published in 2006; these contain only Learning Objectives). Entries that have been updated and expanded are in bold. Forthcoming, future topics are italicized.