Sections
1. Introduction
2. Combining and resolving conflicts with
geospatial datasets
3. Measures of decision correctness
4. Visualization
5. Conflict resolution by analytical and
visual conflation agents
6. Conclusion
7. Acknowledgements
8. Exercises and problems
9. References
Abstract
With the growing use of geospatial data arising from multiple sources combined with a variety of techniques for data generation and a variety of requested data formats, the problem of data integration poses the challenging task of creating a general framework for both carrying out this integration and decision making. This chapter features a general framework for combining geospatial datasets. The framework is task-driven and includes the development of task-specific measures, the use of a task-driven conflation agent, and the identification of task-related default parameters. The chapter also describes measures of decision correctness and the visualization of decisions and conflict resolution by using analytical and visual conflation agents.