Spatial data are approximations of reality, and the errors they contain may have serious implications for related geoprocessing activities. Users of spatial data generally have a limited understanding of how errors in data affect their particular applications. This problem becomes especially critical when data from multiple sources, concerning multiple themes, are combined (data fusion) for sophisticated data analysis. We seek to address this by developing a systematic approach to embed spatial data error handling within data distribution and geoprocessing.

GOMSU is funded by the National Geospatial Intelligence Agency

Executive Summary - Complete executive summary describing this project and a link to a PDF document with the project proposal.

People - The people involved in this project.

Library - A bibliographic library of papers that form the foundation for research in this project.

Presentations and Publications - Presentations and publications produced as a result of this project.

Standards - Links to organizations providing standards for the development and presentation of GIS data.