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2020-06-12Zeitschriftenartikel DOI: 10.18452/25914
Second-order and local characteristics of network intensity functions
dc.contributor.authorEckardt, Matthias
dc.contributor.authorMateu, Jorge
dc.date.accessioned2023-01-23T10:40:18Z
dc.date.available2023-01-23T10:40:18Z
dc.date.issued2020-06-12none
dc.identifier.urihttp://edoc.hu-berlin.de/18452/26594
dc.description.abstractThe last decade has witnessed an increase of interest in the spatial analysis of structured point patterns over networks whose analysis is challenging because of geometrical complexities and unique methodological problems. In this context, it is essential to incorporate the network specificity into the analysis as the locations of events are restricted to areas covered by line segments. Relying on concepts originating from graph theory, we extend the notions of first-order network intensity functions to second-order and local network intensity functions. We consider two types of local indicators of network association functions which can be understood as adaptations of the primary ideas of local analysis on the plane. We develop the nodewise and cross-hierarchical type of local functions. A real data set on urban disturbances is also presented.eng
dc.language.isoengnone
dc.publisherHumboldt-Universität zu Berlin
dc.rights(CC BY 4.0) Attribution 4.0 Internationalger
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectGraphseng
dc.subjectLocal indicators of spatial network associationeng
dc.subjectNetwork intensity functionseng
dc.subjectSecond-order analysiseng
dc.subjectPartially directed networkseng
dc.subject.ddc310 Sammlungen allgemeiner Statistikennone
dc.titleSecond-order and local characteristics of network intensity functionsnone
dc.typearticle
dc.identifier.urnurn:nbn:de:kobv:11-110-18452/26594-0
dc.identifier.doihttp://dx.doi.org/10.18452/25914
dc.type.versionpublishedVersionnone
local.edoc.pages23none
local.edoc.type-nameZeitschriftenartikel
local.edoc.container-typeperiodical
local.edoc.container-type-nameZeitschrift
dc.description.versionPeer Reviewednone
dc.identifier.eissn1863-8260
dcterms.bibliographicCitation.doi10.1007/s11749-020-00720-4
dcterms.bibliographicCitation.journaltitleTESTnone
dcterms.bibliographicCitation.volume30none
dcterms.bibliographicCitation.issue2none
dcterms.bibliographicCitation.originalpublishernameSpringernone
dcterms.bibliographicCitation.originalpublisherplaceHeidelberg [u.a.]none
dcterms.bibliographicCitation.pagestart318none
dcterms.bibliographicCitation.pageend340none
bua.departmentMathematisch-Naturwissenschaftliche Fakultätnone

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