Testing for local structure in spatiotemporal point pattern data
Impacto
Scholar |
Otros documentos de la autoría: Siino, Marianna; Rodríguez-Cortés, Francisco Javier; Mateu, Jorge; adelfio, giada
Metadatos
Mostrar el registro completo del ítemcomunitat-uji-handle:10234/9
comunitat-uji-handle2:10234/7037
comunitat-uji-handle3:10234/8635
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http://dx.doi.org/10.1002/env.2463 |
Metadatos
Título
Testing for local structure in spatiotemporal point pattern dataFecha de publicación
2017-09-03Editor
WileyCita bibliográfica
SIINO, Marianna; RODRÍGUEZ-CORTÉS, Francisco Javier; MATEU, Jorge; ADELFIO, Giada. Testing for local structure in spatiotemporal point pattern data. Environmetrics (2017), special issue onlineTipo de documento
info:eu-repo/semantics/articleVersión de la editorial
http://onlinelibrary.wiley.com/doi/10.1002/env.2463/epdfVersión
info:eu-repo/semantics/publishedVersionPalabras clave / Materias
Resumen
The detection of clustering structure in a point pattern is one of themain focuses
of attention in spatiotemporal data mining. Indeed, statistical tools for clustering
detection and identification of individual ... [+]
The detection of clustering structure in a point pattern is one of themain focuses
of attention in spatiotemporal data mining. Indeed, statistical tools for clustering
detection and identification of individual events belonging to clusters
are welcome in epidemiology and seismology. Local second-order characteristics
provide information on how an event relates to nearby events. In this
work, we extend local indicators of spatial association (known as LISA functions)
to the spatiotemporal context (which will be then called LISTA functions).
These functions are then used to build local tests of clustering to analyse differences
in local spatiotemporal structures.We present a simulation study to assess
the performance of the testing procedure, and we apply this methodology to
earthquake data. [-]
Publicado en
Environmetrics (2017), Special issue onlineProyecto de investigación
1) Spanish Ministry of Economy and Competitiveness, Grant/Award Number: MTM2016-78917-R; 2) Italian Ministry of Education University and Research (MIUR)Derechos de acceso
http://rightsstatements.org/vocab/CNE/1.0/
info:eu-repo/semantics/restrictedAccess
info:eu-repo/semantics/restrictedAccess
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