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Permanent link (DOI): https://doi.org/10.7939/R3GH71

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Data spacing and uncertainty Open Access

Descriptions

Other title
Subject/Keyword
data spacing
sampling
uncertainty
data density
sequential Gaussian simulation
Type of item
Thesis
Degree grantor
University of Alberta
Author or creator
Wilde, Brandon Jesse
Supervisor and department
Deutsch, Clayton (Civil and Environmental Engineering)
Examining committee member and department
Boisvert, Jeff (Civil and Environmental Engineering
Catuneanu, Octavian (Earth and Atmospheric Sciences)
Department
Department of Civil and Environmental Engineering
Specialization

Date accepted
2010-09-29T16:02:14Z
Graduation date
2010-11
Degree
Master of Science
Degree level
Master's
Abstract
Modeling spatial variables involves uncertainty. Uncertainty is affected by the degree to which a spatial variable has been sampled: decreased spacing between samples leads to decreased uncertainty. The reduction in uncertainty due to increased sampling is dependent on the properties of the variable being modeled. A densely sampled erratic variable may have a level of uncertainty similar to a sparsely sampled continuous variable. A simulation based approach is developed to quantify the relationship between uncertainty and data spacing. Reference realizations are simulated and sampled at different spacings. The samples are used to condition additional realizations from which uncertainty is quantified. A number of factors complicate the relationship between uncertainty and data spacing including the proportional effect, nonstationary variogram, classification threshold, number of realizations, data quality and modeling scale. A case study of the relationship between uncertainty and data density for bitumen thickness data from northern Alberta is presented.
Language
English
DOI
doi:10.7939/R3GH71
Rights
License granted by Brandon Wilde (bwilde@ualberta.ca) on 2010-09-27T21:13:38Z (GMT): Permission is hereby granted to the University of Alberta Libraries to reproduce single copies of this thesis and to lend or sell such copies for private, scholarly or scientific research purposes only. Where the thesis is converted to, or otherwise made available in digital form, the University of Alberta will advise potential users of the thesis of the above terms. The author reserves all other publication and other rights in association with the copyright in the thesis, and except as herein provided, neither the thesis nor any substantial portion thereof may be printed or otherwise reproduced in any material form whatsoever without the author's prior written permission.
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