update_db

Save highest concentrations per cell for subsequent iterations.

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

update_db function

<dl><dt>hf_conc_new</dt>
<dd>highest concentrations from the current iteration,
obtained from <code>conc_per_cell_new()</code>.</dd>
<dt>db</dt>
<dd>data.frame containing previously saved highest concentrations.</dd>
<dt>cells</dt>
<dd>cells containing points associated with the current highest
concentration to be removed from <code>db</code>.</dd></dl>

Arguments

Author

Save highest concentrations per cell for subsequent iterations — update_db

<dl>

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


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


<dt>cells</dt>
<dd>cells containing points associated with the current highest
concentration to be removed from <code>db</code>.</dd>

</dl>

update_db: Save highest concentrations per cell for subsequent iterations

Description

Usage

Arguments

Author