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• W2021063410 abstract "Regionalized variables with discrete distributions are commonly associated with counts of individuals (precious stones in ore deposits, wild animals in ecosystems, trees in forests, etc.), that can be represented by a spatial point process. In this paper, we propose to model the point distribution by a Cox process, i.e., a Poisson point process with a random regionalized intensity. The model is parsimonious and versatile, as it allows fitting the histogram of the count variable, its variogram and madogram. Simulation conditional to data is performed by recourse to iterative algorithms based on the Gibbs sampler. Computer programs are provided for parameter inference and for simulation, and an application to a forestry dataset is presented." @default.
• W2021063410 created "2016-06-24" @default.
• W2021063410 creator A5001540398 @default.
• W2021063410 creator A5013876638 @default.
• W2021063410 date "2010-01-01" @default.
• W2021063410 modified "2023-09-26" @default.
• W2021063410 title "A computer package for modeling and simulating regionalized count variables" @default.
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• W2021063410 doi "https://doi.org/10.1016/j.cageo.2009.04.013" @default.
• W2021063410 hasPublicationYear "2010" @default.
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