A computer package for modeling and simulating regionalized count variables

Xavier Emery, Jaime Hernández
2010 Computers & Geosciences  
Regionalized variables with discrete distributions are commonly associated with counts of individuals (precious stones in ore deposits, wild animals in ecosystems, trees in forests...) 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
more » ... dogram. Simulation conditional to data is performed by recourse to iterative algorithms based on the Gibbs sampler.  Code available from server at 1 Computer programs are provided for parameter inference and simulation, and an application to a forestry dataset is presented.
doi:10.1016/j.cageo.2009.04.013 fatcat:ytdk7u65nzf43hed4pgmzejx74