A nonparametric test for the comparison of first-order structures of spatial point processes
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Otros documentos de la autoría: Fuentes Santos, I.; González-Manteiga, Wenceslao; Mateu, Jorge
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https://doi.org/10.1016/j.spasta.2017.02.007 |
Metadatos
Título
A nonparametric test for the comparison of first-order structures of spatial point processesFecha de publicación
2017Editor
ElsevierISSN
2211-6753Cita bibliográfica
FUENTES-SANTOS, I.; GONZÁLEZ-MANTEIGA, W.; MATEU, J. A nonparametric test for the comparison of first-order structures of spatial point processes. Spatial Statistics, 2017, vol. 22, p. 240-260Tipo de documento
info:eu-repo/semantics/articleVersión de la editorial
https://www.sciencedirect.com/science/article/pii/S2211675316301270Versión
info:eu-repo/semantics/publishedVersionPalabras clave / Materias
Resumen
Comparing the spatial distribution of two spatial point patterns is an important issue in many scientific areas such as ecology, epidemiology or environmental risk assessment. However, up to date, the analysis of ... [+]
Comparing the spatial distribution of two spatial point patterns is an important issue in many scientific areas such as ecology, epidemiology or environmental risk assessment. However, up to date, the analysis of multitype point processes has been mainly focused on searching for interactions between events of different patterns, i.e. on the second-order structure, while the first-order structure has received less attention. This work proposes testing the similarity between two spatial point patterns through the comparison of their densities of event locations. For this purpose, we consider the usual squared discrepancy measure to propose a nonparametric statistical test. The asymptotic normal distribution of the associated statistic provides a calibration procedure. The simulation study conducted to analyze the performance of the test shows that this calibration can be too conservative and supports the use of a proposed bootstrap calibration. The performance of the test is also illustrated throughout its application to the analysis of the spatial patterns of wildfires registered in Galicia (NW Spain) during 2006. [-]
Publicado en
Spatial Statistics, 2017, vol. 22, p. 240-260Proyecto de investigación
They also acknowledge the support of the Project MTM2008-0310 from the Spanish Ministry of Science and Innovation, Projects MTM2010-14961, MTM2013-41383-P, MTM2013-43917-P from the Spanish Ministry of Economy and Competitiveness, projects MTM2016-78917-R and MTM2016-76969-P (AEI/FEDER, UE), grant P1-1B2015-60 from Bancaja Foundation, and IAP network StUDyS grant 3E120297 from the Belgian Science Policy.Derechos de acceso
© 2017 Elsevier B.V. All rights reserved.
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