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University of New Orleans

A Framework to Annotate the Uncertainty for Geospatial Data

Abstract

dc:description.abstract

<p>We have developed a new approach to annotate the uncertainty information of geospatial data. This framework is composed of a geospatial platform and the data with uncertainty. The framework supports geospatial sources such as Geography Markup Language (GML) with uncertainty information. The purpose of this framework is to integrate the uncertainty information of data from the application users and thereby ease the development of processing uncertainty information of geospatial data. Having well organized data and using this framework, the end-users can store the uncertainty information on the current geospatial data structure. For example, a GIS user can share the error information for environmental and geospatial data to others. We have also reported the enhanced geographic information system function.</p>

Degree

thesis:*
Name thesis:degree_name
M.S.
Level thesis:degree_level
Thesis
Discipline thesis:degree_discipline
Computer Science
Year dc:date.available
2012

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Yang, Zhao
Contributors dc:contributor
  • Mahdi Abdelguefi
  • Shengru Tu
  • Golden Richard III

Subjects

dc:subject × 2

Identifiers

dc:identifier.*
Repository record dc:identifier
https://scholarworks.uno.edu/td/1528
OAI identifier oai:identifier
oai:scholarworks.uno.edu:td-2527

Chain of custody

source
Harvested from
University of New Orleans
Base URL
scholarworks.uno.edu/do/oai/
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
citation

Yang, Zhao. A Framework to Annotate the Uncertainty for Geospatial Data. Thesis thesis, 2012. https://scholarworks.uno.edu/td/1528