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Memorial University - Electronic Theses and Dissertations 4
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Document Description
TitleAlternate distance metrics in spatial statistics : radial adjustment of vectors in Euclidean networks
AuthorPower, Alfred T., 1961-
DescriptionThesis (M.A.)--Memorial University of Newfoundland, 2010. Geography
Date2010.
Paginationvi, 76 leaves : col. ill., maps
SubjectEuclidean algorithm; Geography--Statistical methods; Spatial analysis (Statistics)--Mathematical models;
DegreeM.A.
Degree GrantorMemorial University of Newfoundland. Dept. of Geography
DisciplineGeography
LanguageEng
NotesIncludes bibliographical references (leaves 69-72)
AbstractThe propensity of utilizing Euclidean distance metrics when calculating spatial statistics generally ignores the underlying connectivity between the features under analysis. A procedure is developed to compensate for the distance discrepancies inherent in spatial statistics algorithms by temporarily transforming the model features into an alternate distance metric space that more realistically represents the functional connectivity distance between spatial elements. -- Comparative statistical analysis results between the adjusted and un-adjusted spatial arrangements suggest that statistical measures that are strictly distance based can display dramatic differences in the magnitude of these results. Global autocorrelation measures display much less variation while local autocorrelation measures can result in regions of expanded spatial clustering.
TypeText
Resource TypeElectronic thesis or dissertation
FormatImage/jpeg; Application/pdf
SourcePaper copy kept in the Centre for Newfoundland Studies, Memorial University Libraries
Local Identifiera3496877
RightsThe author retains copyright ownership and moral rights in this thesis. Neither the thesis nor substantial extracts from it may be printed or otherwise reproduced without the author's permission.
CollectionElectronic Theses and Dissertations
Scanning StatusCompleted
PDF File(9.20 MB) -- http://collections.mun.ca/PDFs/theses/Power_AlfredT.pdf
CONTENTdm file name28423.cpd