update_hotspot_cache

Save highest concentrations per cell for subsequent iterations.

internal

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

update_hotspot_cache function

<dl><dt>new_candidates</dt>
<dd>highest concentrations from the current iteration.</dd>
<dt>cache</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>cache</code>.</dd></dl>

Arguments

Author

Save highest concentrations per cell for subsequent iterations — update_hotspot_cache

<dl>

<dt>new_candidates</dt>
<dd>highest concentrations from the current iteration.</dd>


<dt>cache</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>cache</code>.</dd>

</dl>

update_hotspot_cache: Save highest concentrations per cell for subsequent iterations

Description

Usage

Arguments

Author