Describing heterogeneity in spatial point processes

dc.contributor.advisorFabris-Rotelli, Inger Nicolette
dc.contributor.emailchristine.kraamwinkel@gmail.comen_ZA
dc.contributor.postgraduateKraamwinkel, Christine
dc.date.accessioned2018-01-31T09:12:31Z
dc.date.available2018-01-31T09:12:31Z
dc.date.created2018-04-13
dc.date.issued2017
dc.descriptionMini Dissertation (MSc)--University of Pretoria, 2017.en_ZA
dc.description.abstractIn this mini-dissertation we briefly describe the context and development of spatial statistics, spatial sampling and point patterns. Thereafter spatial homogeneity is considered in detail. Before selecting an appropriate sampling design in the spatial context, it is important to know whether the data is first- and second-order homogeneous. Currently the method of kernel smoothing is used to construct density plots which can be used to visually and subjectively infer on first-order homogeneity. We propose the use of hypothesis tests, developed for the comparison of K Poisson intensities from independent samples, in the spatial setting as a more rigorous statistical approach to testing for first-order homogeneity. We also discuss the data assumptions required for these hypothesis tests and provide suggestions for the users.en_ZA
dc.description.availabilityUnrestricteden_ZA
dc.description.degreeMScen_ZA
dc.description.departmentStatisticsen_ZA
dc.description.sponsorshipDST/NRF SARChI Chair: Mathematical Models and Methods in Bioengineering and Biosciences, University of Pretoriaen_ZA
dc.description.sponsorshipNRF Competitive Programme for Rated Researchers: Prof Geoffrey Fosgate, University of Pretoriaen_ZA
dc.description.sponsorshipWellcome Trust, University of Glasgow, Dr Katie Hampsonen_ZA
dc.description.sponsorshipMorris Animal Foundation First Investigator Award Grant (D12CA-312), Prof Darryn Knobelen_ZA
dc.description.sponsorshipCompetitive Support for Unrated Researchers, Grant 90315, Dr I Fabris-Rotelli, University of Pretoriaen_ZA
dc.description.sponsorshipNRF-SASA Crisis in Statistics granten_ZA
dc.identifier.citationKraamwinkel, C 2017, Describing heterogeneity in spatial point processes, MSc Mini Dissertation, University of Pretoria, Pretoria, viewed yymmdd <http://hdl.handle.net/2263/63817>en_ZA
dc.identifier.otherA2018en_ZA
dc.identifier.urihttp://hdl.handle.net/2263/63817
dc.language.isoenen_ZA
dc.publisherUniversity of Pretoria
dc.rights© 2018 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria.
dc.subjectUCTD
dc.titleDescribing heterogeneity in spatial point processesen_ZA
dc.typeMini Dissertationen_ZA

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