On measures of dissimilarity between point patterns: Classification based on prototypes and multidimensional scaling
Impacto
![Google Scholar](/xmlui/themes/Mirage2/images/uji/logo_google.png)
![Microsoft Academico](/xmlui/themes/Mirage2/images/uji/logo_microsoft.png)
Metadatos
Mostrar el registro completo del ítemcomunitat-uji-handle:10234/9
comunitat-uji-handle2:10234/43662
comunitat-uji-handle3:10234/43643
comunitat-uji-handle4:
INVESTIGACIONEste recurso está restringido
http://dx.doi.org/10.1002/bimj.201300150 |
Metadatos
Título
On measures of dissimilarity between point patterns: Classification based on prototypes and multidimensional scalingAutoría
Fecha de publicación
2015-03Editor
WileyISSN
0323-3847Cita bibliográfica
MATEU, 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.Tipo de documento
info:eu-repo/semantics/articleVersión de la editorial
http://onlinelibrary.wiley.com/doi/10.1002/bimj.201300150/fullVersión
info:eu-repo/semantics/publishedVersionPalabras clave / Materias
Resumen
This 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 ... [+]
This 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. [-]
Publicado en
Biometrical Journal, 2015, vol. 57, no 2Derechos de acceso
© 2014 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim
http://rightsstatements.org/vocab/InC/1.0/
info:eu-repo/semantics/restrictedAccess
http://rightsstatements.org/vocab/InC/1.0/
info:eu-repo/semantics/restrictedAccess
Aparece en las colecciones
- INIT_Articles [752]