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dc.contributor.authorBorrajo, M.I.
dc.contributor.authorComas Rodríguez, Carles
dc.contributor.authorCostafreda Aumedes, Sergi
dc.contributor.authorMateu, Jorge
dc.date.accessioned2021-09-27T08:44:26Z
dc.date.available2021-09-27T08:44:26Z
dc.date.issued2021
dc.identifier.issn1436-3259
dc.identifier.urihttp://hdl.handle.net/10459.1/71927
dc.description.abstractWildlife-vehicle collisions on road networks represent a natural problem between human populations and the environment, that affects wildlife management and raise a risk to the life and safety of car drivers. We propose a statistically principled method for kernel smoothing of point pattern data on a linear network when the first-order intensity depends on covariates. In particular, we present a consistent kernel estimator for the first-order intensity function that uses a convenient relationship between the intensity and the density of events location over the network, which also exploits the theoretical relationship between the original point process on the network and its transformed process through the covariate. We derive the asymptotic bias and variance of the estimator, and adapt some data-driven bandwidth selectors to estimate the optimal bandwidth. The performance of the estimator is analysed through a simulation study under inhomogeneous scenarios. We present a real data analysis on wildlife-vehicle collisions in a region of North-East of Spain.ca_ES
dc.description.sponsorshipThe authors acknowledge the support of the Spanish Ministry of Economy, Industry and Competitivity through Grants MTM2016-76969P, MTM2016-78917-R and MTM2017- 86767-R. J. Mateu is also partially funded by grant UJI-B2018-04.ca_ES
dc.language.isoengca_ES
dc.publisherSpringerca_ES
dc.relationMINECO/PN2013-2016/MTM2016-76969P
dc.relationMINECO/PN2013-2016/MTM2016-78917-R
dc.relationMINECO/PN2013-2016/MTM2017- 86767-R
dc.relation.isformatofReproducció del document publicat a https://doi.org/10.1007/s00477-021-02072-3ca_ES
dc.relation.ispartofStochastic Environmental Research and Risk Assessment, 2021ca_ES
dc.rightscc-by (c) Borrajo et al., 2021ca_ES
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectBandwidth selectionca_ES
dc.subjectCovariatesca_ES
dc.subjectFirst-order intensityca_ES
dc.subjectKernel estimationca_ES
dc.titleStochastic smoothing of point processes for wildlife-vehicle collisions on road networksca_ES
dc.typeinfo:eu-repo/semantics/articleca_ES
dc.identifier.idgrec031761
dc.type.versioninfo:eu-repo/semantics/publishedVersionca_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessca_ES
dc.identifier.doihttps://doi.org/10.1007/s00477-021-02072-3


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cc-by (c) Borrajo et al., 2021
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