insurance

A sample insurance portfolio with postal codes, insured amounts,
population at 4-digit postcode level, and point coordinates in EPSG:4326.

datasets

Provides methods for spatial concentration and radius-based risk
calculations. The package focuses on efficient determination of the sum of
observations within a given radius, identifying local concentration
hotspots, and aggregating point data to polygon geometries. These methods
are useful for applications such as insurance, urban analytics,
environmental exposure analysis, and other spatial point pattern workflows.
The underlying maximum covering problem is described by Church (1974)
<doi:10.1007/BF01942293>.

Martin Haringa

spatialrisk

Spatial Concentration and Radius-Based Risk Calculations

insurance function

A data frame with 29,990 rows and 5 variables:<dl>
 <dt>postcode</dt>
<dd>6-digit postal code.</dd> <dt>population_pc4</dt>
<dd>Population for the corresponding 4-digit postcode
 area.</dd> <dt>amount</dt>
<dd>Insured amount.</dd> <dt>lon</dt>
<dd>Longitude of the corresponding 6-digit postal code.</dd> <dt>lat</dt>
<dd>Latitude of the corresponding 6-digit postal code.</dd>
</dl>

Format

Author

Example insurance portfolio — insurance

A data frame with 29,990 rows and 5 variables:<dl>
 <dt>postcode</dt>
<dd>6-digit postal code.</dd>

 <dt>population_pc4</dt>
<dd>Population for the corresponding 4-digit postcode
 area.</dd>

 <dt>amount</dt>
<dd>Insured amount.</dd>

 <dt>lon</dt>
<dd>Longitude of the corresponding 6-digit postal code.</dd>

 <dt>lat</dt>
<dd>Latitude of the corresponding 6-digit postal code.</dd>


</dl>

insurance: Example insurance portfolio

Description

Usage

Arguments

Format

Author

Details