Statistical Modeling Uncertainties of Three-dimensional GIS Features

Research output: Journal article publicationJournal articleAcademic researchpeer-review

6 Citations (Scopus)


This article presents a newly developed statistical approach for modeling positional uncertainties of geometric features in three-dimensional geographical information systems (GIS). These features include points, line segments and linear features. The developed approach provides a confidence volume model for each feature type. The true locations of these measured features are included within these volumes with probability larger than a pre-defined confidence level. With the assumptions that positional errors of the two endpoints are independent and follow two three-dimensional normal distributions, the error of any point on the line segment is derived and described by the distribution of the point. The confidence volume model of a line segment is hence derived. Based on this model, the confidence volume model of linear features is further derived.
Original languageEnglish
Pages (from-to)21-26
Number of pages6
JournalCartography and Geographic Information Science
Issue number1
Publication statusPublished - 1 Jan 1997

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Geography, Planning and Development
  • Management of Technology and Innovation


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