det_alpha

This function is used for the intensity-based method. It determines the
probability to have at least one unobserved event outside the high-risk zone. 
A Poisson distribution is used for the number of unobserved events in a certain area or field.
Used in functions det_threshold, det_thresholdfromarea.

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

det_alpha function

<dl><dt>intens</dt>
<dd>estimated intensity of the observed process (object of class "im", see <code>density.ppp</code>)</dd>
<dt>threshold</dt>
<dd>threshold c: The high-risk zone is the field in which the estimated intensity 
exceeds this value.</dd>
<dt>nxprob</dt>
<dd>probability of having unobserved events</dd></dl>

Arguments

calculation of alpha (failure probability), when having the threshold c — det_alpha

<dl>

<dt>intens</dt>
<dd>estimated intensity of the observed process (object of class "im", see <code>density.ppp</code>)</dd>


<dt>threshold</dt>
<dd>threshold c: The high-risk zone is the field in which the estimated intensity 
exceeds this value.</dd>


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

</dl>

det_alpha: calculation of alpha (failure probability), when having the threshold c

Description

Usage

Value

Arguments