Groningen

A sample of addresses in Groningen with point coordinates in
EPSG:4326 and an example numeric amount column.

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

Groningen function

A data frame with 25,000 rows and 9 variables:<dl>
 <dt>street</dt>
<dd>Street name.</dd> <dt>number</dt>
<dd>House number.</dd> <dt>letter</dt>
<dd>House letter.</dd> <dt>suffix</dt>
<dd>House number suffix.</dd> <dt>postal_code</dt>
<dd>Postal code.</dd> <dt>city</dt>
<dd>City name.</dd> <dt>lon</dt>
<dd>Longitude.</dd> <dt>lat</dt>
<dd>Latitude.</dd> <dt>amount</dt>
<dd>Example numeric amount.</dd>
</dl>

Format

Example addresses in Groningen — Groningen

A data frame with 25,000 rows and 9 variables:<dl>
 <dt>street</dt>
<dd>Street name.</dd>

 <dt>number</dt>
<dd>House number.</dd>

 <dt>letter</dt>
<dd>House letter.</dd>

 <dt>suffix</dt>
<dd>House number suffix.</dd>

 <dt>postal_code</dt>
<dd>Postal code.</dd>

 <dt>city</dt>
<dd>City name.</dd>

 <dt>lon</dt>
<dd>Longitude.</dd>

 <dt>lat</dt>
<dd>Latitude.</dd>

 <dt>amount</dt>
<dd>Example numeric amount.</dd>


</dl>

Groningen: Example addresses in Groningen

Description

Usage

Arguments

Format

Details