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dc.contributor.authorMateu, Jorge
dc.contributor.authorSchoenberg, Frederic P.
dc.contributor.authorDiez, David M.
dc.contributor.authorGonzález Monsalve, Jonatan Andrey
dc.contributor.authorLu, Weipeng
dc.identifier.citationMATEU, Jorge, et al. On measures of dissimilarity between point patterns: Classification based on prototypes and multidimensional scaling. Biometrical Journal, 2015, vol. 57, no 2, p. 340-358.ca_CA
dc.description.abstractThis paper presents a collection of dissimilarity measures to describe and then classify spatial point patterns when multiple replicates of different types are available for analysis. In particular, we consider a range of distances including the spike-time distance and its variants, as well as cluster-based distances and dissimilarity measures based on classical statistical summaries of point patterns. We review and explore, in the form of a tutorial, their uses, and their pros and cons. These distances are then used to summarize and describe collections of repeated realizations of point patterns via prototypes and multidimensional scaling. We also show a simulation study to evaluate the performance of multidimensional scaling with two types of selected distances. Finally, a multivariate spatial point pattern of a natural plant community is analyzed through various of these measures of dissimilarity.ca_CA
dc.description.sponsorShipWe are grateful to an associate editor and two referees whose comments and suggestions have clearly improved an earlier version of the manuscript. Work partially funded by grant MTM2010-14961 from the Spanish Ministry of Science and Education.ca_CA
dc.format.extent18 p.ca_CA
dc.relation.isPartOfBiometrical Journal, 2015, vol. 57, no 2ca_CA
dc.rights© 2014 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheimca_CA
dc.subjectMultidimensional scalingca_CA
dc.subjectPoint patternsca_CA
dc.subjectSpike-time distanceca_CA
dc.titleOn measures of dissimilarity between point patterns: Classification based on prototypes and multidimensional scalingca_CA

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