- Describe extensions to relational DBMS to represent temporal change in attributes
- Evaluate the advantages and disadvantages of existing space-time models based on storage efficiency, query performance, ease of data entry, and ability to implement in existing software
- Create a GIS database that models temporal information
- Utilize two different space-time models to characterize a given scenario, such as a daily commute
- Describe the architecture of data models (both field and object based) to represent spatio-temporal phenomena
- Differentiate the two types of temporal information to be modeled in databases: database (or transaction) time and valid (or world) time
- Identify whether it is important to represent temporal change in a particular GIS application
- Describe SQL extensions for querying temporal change
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.