Memorial University DAI: Alternate distance metrics in spatial statistics : radial adjustment of vectors in Euclidean networks

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Title	Alternate distance metrics in spatial statistics : radial adjustment of vectors in Euclidean networks
Author	Power, Alfred T., 1961-
Description	Thesis (M.A.)--Memorial University of Newfoundland, 2010. Geography
Date	2010.
Pagination	vi, 76 leaves : col. ill., maps
Subject	Euclidean algorithm; Geography--Statistical methods; Spatial analysis (Statistics)--Mathematical models;
Degree	M.A.
Degree Grantor	Memorial University of Newfoundland. Dept. of Geography
Discipline	Geography
Language	Eng
Notes	Includes bibliographical references (leaves 69-72)
Abstract	The 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.
Type	Text
Resource Type	Electronic thesis or dissertation
Format	Image/jpeg; Application/pdf
Source	Paper copy kept in the Centre for Newfoundland Studies, Memorial University Libraries
Local Identifier	a3496877
Rights	The 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.
Collection	Electronic Theses and Dissertations
Scanning Status	Completed
PDF File	(9.20 MB) -- http://collections.mun.ca/PDFs/theses/Power_AlfredT.pdf
CONTENTdm file name	28423.cpd