Positional Uncertainty Estimation and Visualization of a Triangular Tessellation


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A triangulated irregularly network (TIN) is always used to describe the land surface in a geographic information system (GIS), while the land surface abstracted and simplified has modeling errors inevitably, which play an important role in uncertainty estimation, while are ignored in the GIS literature. In this paper, we consider modeling errors and use error promulgation law to estimate positional uncertainty of a triangular tessellation. It indicates the difference between complex entities in the real world and geographic objects simplified in a digital world, and it makes uncertainty complete and credible.



Edited by:

Qi Luo






J. H. Cai et al., "Positional Uncertainty Estimation and Visualization of a Triangular Tessellation", Applied Mechanics and Materials, Vols. 58-60, pp. 2057-2062, 2011

Online since:

June 2011




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