Gilbert's disc model with geostatistical marking

Fuente: arXiv
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Main Authors: Ahlberg, Daniel, Tykesson, Johan
Format: Preprint
Published: 2017
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author Ahlberg, Daniel
Tykesson, Johan
author_facet Ahlberg, Daniel
Tykesson, Johan
contents We study a variant of Gilbert's disc model, in which discs are positioned at the points of a Poisson process in $\mathbb{R}^2$ with radii determined by an underlying stationary and ergodic random field $φ:\mathbb{R}^2\to[0,\infty)$, independent of the Poisson process. When the random field is independent of the point process one often talks about 'geostatistical marking'. We examine how typical properties of interest in stochastic geometry and percolation theory, such as coverage probabilities and the existence of long-range connections, differ between Gilbert's model with radii given by some random field and Gilbert's model with radii assigned independently, but with the same marginal distribution. Among our main observations we find that complete coverage of $\mathbb{R}^2$ does not necessarily happen simultaneously, and that the spatial dependence induced by the random field may both increase as well as decrease the critical threshold for percolation.
format Preprint
id arxiv_https___arxiv_org_abs_1705_03337
institution arXiv
publishDate 2017
record_format arxiv
spellingShingle Gilbert's disc model with geostatistical marking
Ahlberg, Daniel
Tykesson, Johan
Probability
We study a variant of Gilbert's disc model, in which discs are positioned at the points of a Poisson process in $\mathbb{R}^2$ with radii determined by an underlying stationary and ergodic random field $φ:\mathbb{R}^2\to[0,\infty)$, independent of the Poisson process. When the random field is independent of the point process one often talks about 'geostatistical marking'. We examine how typical properties of interest in stochastic geometry and percolation theory, such as coverage probabilities and the existence of long-range connections, differ between Gilbert's model with radii given by some random field and Gilbert's model with radii assigned independently, but with the same marginal distribution. Among our main observations we find that complete coverage of $\mathbb{R}^2$ does not necessarily happen simultaneously, and that the spatial dependence induced by the random field may both increase as well as decrease the critical threshold for percolation.
title Gilbert's disc model with geostatistical marking
topic Probability
url https://arxiv.org/abs/1705.03337