- Compare and contrast the meanings of related terms such as vague, fuzzy, imprecise, indefinite, indiscrete, unclear, and ambiguous
- Describe the cognitive processes that tend to create vagueness
- Recognize the degree to which vagueness depends on scale
- Evaluate vagueness in the locations, time, attributes, and other aspects of geographic phenomena
- Differentiate between the following concepts: vagueness and ambiguity, well defined and poorly defined objects and fields, and discord and non-specificity
- Identify the hedges used in language to convey vagueness
- Evaluate the role that system complexity, dynamic processes, and subjectivity play in the creation of vague phenomena and concepts
- Differentiate applications in which vagueness is an acceptable trait from those in which it is unacceptable
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 linked directly to either their original (2006) or revised entries; forthcoming, future topics are italicized.