Approaches for Testing Uniformity Hypothesis in Angular Data of Mega-Herbivores

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dc.contributor.authorMutwiri, Robert M.
dc.contributor.authorMwambi, Henry
dc.contributor.authorSlotow, Rob
dc.date.accessioned2016-10-31T07:40:31Z
dc.date.available2016-10-31T07:40:31Z
dc.date.issued2016-03
dc.description.abstractCircularstatistics is an area not used verymuch by ecologists to describe animal movement patterns.Nevertheless,the connection betweenthe evaluation of temporalrecurring events and theanalysis of directional data haveconverged in several papers, and showcircularstatistics to be an outstandingtoolforunderstanding animal movementbetter. Theaim of thischapter is to evaluate the applications of circularstatisticaltests to check uniformityhypothesis in animal movement and its potential interpretationwithin the general framework of movementecology. Four methods of circularstatistics: Rayleigh’s,Watson’s,Rao’s spacing and Kuiper’s test based on the mean resultantlengthare applied to examine theuniformityhypothesis of GPS derived telemetry data of elephant movementcollected fromKrugerNationalPark(KNP) South Africa.Overall,circularstatisticaluniformitytests methods represent a usefultoolfor evaluation of directionalityelephant movement with applications including(i) assessment of animal foragingstrategies; (ii)determination of orientation in response to landscape features and (iii)determination of therelativestrengths of landscape features present binacomplex environment.en_US
dc.identifier.citationInternational Journal of Science and Research (IJSR) Volume 5 Issue 3en_US
dc.identifier.issn2319-7064
dc.identifier.urihttp://hdl.handle.net/123456789/1097
dc.language.isoenen_US
dc.subjectCircularstatisticsen_US
dc.subjectanimalmovementen_US
dc.subjectturn anglesen_US
dc.subjectuniformityhypothesisen_US
dc.titleApproaches for Testing Uniformity Hypothesis in Angular Data of Mega-Herbivoresen_US
dc.typeArticleen_US
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