Spatial autocorrelation and the analysis of patterns resulting from crime occurrence

dc.contributor.advisorCook, Gillian Patricia
dc.contributor.authorWard, Gary J
dc.date.accessioned2026-03-04T08:14:27Z
dc.date.issued1978
dc.description.abstractFrom Introduction: In geography during the 1950's there was a definite move away from the study of unique phenomena to the study of generalized phenomena or pattern (Mather and Openshaw, 1974). At the same time interrelationships between phenomena distributed in space and time became the topic of much interest among geographers, as well as members of other disciplines. The changing emphasis initiated acceptance of certain scientific principles (Cole, 1973), and mathematical techniques became the recognized and respected means through which objective analysis of pattern, structure, and interrelationships between a really distributed phenomena could be achieved (Ackerman, 1972; Burton, 1972; Gould, 1973). Geographers, as do members of other disciplines, frequently borrow mathematical techniques developed for problems encountered in the pure sciences and apply these techniques to what are felt to be analogous situations in geography.
dc.description.degreeMaster's thesis
dc.description.degreeMSc
dc.format.extent144 pages
dc.format.mimetypeapplication/pdf
dc.identifier.otherhttp://hdl.handle.net/10962/d1007244
dc.identifier.urihttps://researchrepository.ru.ac.za/handle/123456789/5586
dc.languageEnglish
dc.publisherRhodes University, Faculty of Science, Department of Geography
dc.rightsWard, Gary J
dc.subjectGeography -- Statistical methods
dc.subjectCorrelation (Statistics)
dc.subjectSpatial analysis (Statistics)
dc.subjectCriminal statistics -- South Africa -- Grahamstown
dc.titleSpatial autocorrelation and the analysis of patterns resulting from crime occurrence
dc.typeAcademic thesis

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