Spatial uncertainty refers to unknown error and vagueness in geographic data. It is relevant to land change and urban growth modelers, soil and biome scientists, geological surveyors and others, who must assess thematic maps for similarity, or categorical agreement. In this paper I build upon prior map comparison research, testing the effectiveness of similarity measures on misregistered data. Though several methods compare uncertain thematic maps, few methods have been tested on misregistration.
Download count: 0
- Partial requirement for: M.A., Arizona State University, 2010Note typethesis
- Includes bibliographical references (p. 42-47)Note typebibliography
- Field of study: Geography