Analysing highly complex and highly structured point patterns in space
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Show full item recordcomunitat-uji-handle:10234/9
comunitat-uji-handle2:10234/7037
comunitat-uji-handle3:10234/8635
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https://doi.org/10.1016/j.spasta.2017.04.007 |
Metadata
Title
Analysing highly complex and highly structured point patterns in spaceDate
2017Publisher
ElsevierISSN
2211-6753Bibliographic citation
ECKARDT, Matthias; MATEU, Jorge. Analysing highly complex and highly structured point patterns in space. Spatial Statistics, 2017Type
info:eu-repo/semantics/articlePublisher version
https://www.sciencedirect.com/science/article/pii/S2211675316301269Version
info:eu-repo/semantics/publishedVersionAbstract
The purpose of this paper is to discuss two recently introduced approaches that focus on structures of different events that occur randomly in space: spatial dependence graph models (SDGMs), and network intensity ... [+]
The purpose of this paper is to discuss two recently introduced approaches that focus on structures of different events that occur randomly in space: spatial dependence graph models (SDGMs), and network intensity functions. While SDGMs are undirected graphical models which capture the conditional independence structure between components of multivariate spatial point processes, network intensity functions describe the first-order properties of point patterns that occur on arbitrary network structures. [-]
Is part of
Spatial Statistics, 2017Investigation project
J. Mateu has been partially granted by grants MTM2013-43917-P, MTM2016-78917-R and P1-1B2015-40.Rights
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- MAT_Articles [770]