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Full-Text Articles in Social and Behavioral Sciences
Ontology-Driven Geographic Information Systems, Frederico Torres Fonseca
Ontology-Driven Geographic Information Systems, Frederico Torres Fonseca
Electronic Theses and Dissertations
Information integration is the combination of different types of information in a framework so that it can be queried, retrieved, and manipulated. Integration of geographic data has gained in importance because of the new possibilities arising from the interconnected world and the increasing availability of geographic information. Many times the need for information is so pressing that it does not matter if some details are lost, as long as integration is achieved. To integrate information across computerized information systems it is necessary first to have explicit formalizations of the mental concepts that people have about the real world. Furthermore, these …
Strategies For Handling Spatial Uncertainty Due To Discretization, Thomas Windholz
Strategies For Handling Spatial Uncertainty Due To Discretization, Thomas Windholz
Electronic Theses and Dissertations
Geographic information systems (GISs) allow users to analyze geographic phenomena within areas of interest that lead to an understanding of their relationships and thus provide a helpful tool in decision-making. Neglecting the inherent uncertainties in spatial representations may result in undesired misinterpretations. There are several sources of uncertainty contributing to the quality of spatial data within a GIS: imperfections (e.g., inaccuracy and imprecision) and effects of discretization. An example for discretization in the thematic domain is the chosen number of classes to represent a spatial phenomenon (e.g., air temperature). In order to improve the utility of a GIS an inclusion …
Application Of Spatial Concepts To Genome Data, Mary-Kate Beard-Tisdale, Carol Bult, Max J. Egenhofer Editor
Application Of Spatial Concepts To Genome Data, Mary-Kate Beard-Tisdale, Carol Bult, Max J. Egenhofer Editor
University of Maine Office of Research Administration: Grant Reports
This project will investigate the application of geographic information science concepts and methods to the modeling and analysis of genome data. The primary objective of the research is to develop a data model for genomes that supports the graphical exploration of the higher order spatial arrangement of genome features through spatial queries and spatial data analysis tools. The spatial genome model formalizes topological and order relationships among genome features (before, after, overlap), uses metric properties to refine spatial topologies, and includes representations of features that have uncertain metric properties. The genome spatial model enhances the integrative and comparative potential of …