thin

The thinning is done by drawing independently from a Bernoulli distribution. This function is needed for functions eval_method, sim_clintens, sim_intens

Functions for determining and evaluating high-risk zones and
simulating and thinning point process data, as described in 'Determining
high risk zones using point process methodology - Realization by building
an R package' Seibold (2012) <http://highriskzone.r-forge.r-project.org/Bachelorarbeit.pdf>
and 'Determining high-risk zones for unexploded World War II bombs by using point
process methodology', Mahling et al. (2013) <doi:10.1111/j.1467-9876.2012.01055.x>.

Rickmer Schulte

highriskzone

Determining and Evaluating High-Risk Zones

thin function

<dl><dt>full</dt>
<dd>all observations of the point pattern</dd>
<dt>nxprob</dt>
<dd>probability of having unobserved events</dd></dl>

Arguments

Thinning of the observations (for evaluating the method) — thin

<dl>

<dt>full</dt>
<dd>all observations of the point pattern</dd>


<dt>nxprob</dt>
<dd>probability of having unobserved events</dd>

</dl>

thin: Thinning of the observations (for evaluating the method)

Description

Usage

Value

Arguments

See Also

Examples