cov_tdensity

datasets

The Bayesian MCMC estimation of parameters for Thomas-type cluster
point process with various inhomogeneities. It allows for inhomogeneity in
(i) distribution of parent points, (ii) mean number of points in a cluster,
(iii) cluster spread. The package also allows for the Bayesian MCMC
algorithm for the homogeneous generalized Thomas process. The cluster size
is allowed to have a variance that is greater or less than the expected
value (cluster sizes are over or under dispersed). Details are described in
Dvořák, Remeš, Beránek & Mrkvička (2022) <arXiv: 10.48550/arXiv.2205.07946>.

Remes Radim

binspp

Bayesian Inference for Neyman-Scott Point Processes

Mrkvicka Tomas

Dvorak Jiri

Beranek Ladislav

Park Jaewoo

Lee Sujeong

cov_tdensity function

<p>An object of class <code>im</code> with 208 rows and 374 columns.</p>

Format

Trees density — cov_tdensity

Trees density

cov_tdensity: Trees density

Description

Usage

Arguments

Format