- Define a field in terms of properties, space, and time
- Formalize the notion of field using mathematical functions and calculus
- Recognize the influences of scale on the perception and meaning of fields
- Evaluate the field view’s description of “objects” as conceptual discretizations of continuous patterns
- Identify applications and phenomena that are not adequately modeled by the field view
- Identify examples of discrete and continuous change found in spatial, temporal, and spatio-temporal fields
- Relate the notion of field in GIS to the mathematical notions of scalar and vector fields
- Differentiate various sources of fields, such as substance properties (e.g., temperature), artificial constructs (e.g., population density), and fields of potential or influence (e.g., gravity)
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.