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Memorial University - Electronic Theses and Dissertations 1
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Document Description
TitleHierarchical fuzzy pattern matching for the regional comparison of land use maps
AuthorPower, Conrad, 1965-
DescriptionThesis (M.Sc.)--Memorial University of Newfoundland, 1998. Geography
Paginationviii, 111 leaves : ill., maps
SubjectLand use--Maps; Land settlement patterns--Maps; Fuzzy algorithms; Pattern perception
Degree GrantorMemorial University of Newfoundland. Dept. of Geography
NotesBibliography: leaves 101-107.
AbstractThe evaluation of the spatial similarities between two raster maps is traditionally based on pixel-by-pixel comparison techniques. These procedures determine the number of ceils in agreement for each landuse category and express the overall agreement with a boolean global similarity value. The problem with a pixel-by-pixel comparison is that a small displacement in pixels will be registered as disagreement even though the land use patterns between the maps maybe essentially the same. The issues of unique polygons mapping and hierarchical fuzzy pattern matching, where the maps are compared on both a local and global level emerge as viable and robust alternatives. The local matchings determine the degree of containment of each unique polygon to its spatial counterparts on the original maps in terms of fuzzy areal intersections. Local agreement values for the unique polygons based on their polygon area containments are calculated from fuzzy logical Max-Min compositional algorithms. A global agreement value is derived by the fuzzy summation of the local matchings. The uses of these basic methods are discussed and further refinements and modeling possibilities are outlined.
Resource TypeElectronic thesis or dissertation
FormatImage/jpeg; Application/pdf
SourcePaper copy kept in the Centre for Newfoundland Studies, Memorial University Libraries
Local Identifiera1322326
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(35.68 MB) --
CONTENTdm file name38145.cpd