highest_conc

Find the highest concentration for the current iteration.

internal

Provides methods for spatial risk calculations, focusing on
efficient determination of the sum of observations within a circle of a
given radius. These methods are particularly relevant for applications such
as insurance, where recent European Commission regulations require the
calculation of the maximum insured value of fire risk policies for all
buildings that are partly or fully located within a 200 m radius. The
underlying problem is described by Church (1974) <doi:10.1007/BF01942293>.

Martin Haringa

spatialrisk

Calculating Spatial Risk

highest_conc function

<dl><dt>hf_conc_new</dt>
<dd>highest concentrations from the current iteration,
retrieved from <code>conc_per_cell_new()</code>.</dd>
<dt>high_foc</dt>
<dd>data.frame containing cell ids with the top n focal values
from the current iteration.</dd>
<dt>db</dt>
<dd>data.frame containing previously saved highest concentrations.</dd></dl>

Arguments

Author

Find the highest concentration for the current iteration — highest_conc

<dl>

<dt>hf_conc_new</dt>
<dd>highest concentrations from the current iteration,
retrieved from <code>conc_per_cell_new()</code>.</dd>


<dt>high_foc</dt>
<dd>data.frame containing cell ids with the top n focal values
from the current iteration.</dd>


<dt>db</dt>
<dd>data.frame containing previously saved highest concentrations.</dd>

</dl>

highest_conc: Find the highest concentration for the current iteration

Description

Usage

Arguments

Author