trees_N4

The oak trees dataset sampled in 2009 in region consisting of 5 rectangles.

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

trees_N4 function

A list with columns:<dl>
 <dt>window</dt>
<dd>A list of region window definition.</dd> <dt>n</dt>
<dd>Number of oak trees in the region.</dd> <dt>x</dt>
<dd>Array of x coordinates of oak trees.</dd> <dt>y</dt>
<dd>Array of y coordinates of oak trees.</dd>
</dl>

Format

Spanish oak trees — trees_N4

A list with columns:<dl>
 <dt>window</dt>
<dd>A list of region window definition.</dd>

 <dt>n</dt>
<dd>Number of oak trees in the region.</dd>

 <dt>x</dt>
<dd>Array of x coordinates of oak trees.</dd>

 <dt>y</dt>
<dd>Array of y coordinates of oak trees.</dd>


</dl>

trees_N4: Spanish oak trees

Description

Usage

Arguments

Format

Details

Examples