haversine

The shortest distance between two points (i.e., the
'great-circle-distance' or 'as the crow flies'), according to the 'haversine
method'. This method assumes a spherical earth, ignoring ellipsoidal effects.
Note that this version is implemented in C++. A quick benchmark to the
version of geosphere showed it to be a non-insignificant speed enhancement.
The algorithm converges in one-twentieth of the original time.

Methods for spatial risk calculations. It offers an efficient approach to determine the sum of all observations within a
circle of a certain radius. This might be beneficial for insurers who are required (by a recent European Commission regulation) to determine
the maximum value of insured fire risk policies of all buildings that are partly or fully located within a circle of a radius of 200m. See
Church (1974) <doi:10.1007/BF01942293> for a description of the problem.

Martin Haringa

spatialrisk

Calculating Spatial Risk

haversine function

<dl><dt>lat_from</dt>
<dd>Latitude of point.</dd>
<dt>lon_from</dt>
<dd>Longitude of point.</dd>
<dt>lat_to</dt>
<dd>Latitude of point.</dd>
<dt>lon_to</dt>
<dd>Longitude of point.</dd>
<dt>r</dt>
<dd>Radius of the earth; default = 6378137m</dd></dl>

Arguments

Author

Haversine great circle distance — haversine

<dl>

<dt>lat_from</dt>
<dd>Latitude of point.</dd>


<dt>lon_from</dt>
<dd>Longitude of point.</dd>


<dt>lat_to</dt>
<dd>Latitude of point.</dd>


<dt>lon_to</dt>
<dd>Longitude of point.</dd>


<dt>r</dt>
<dd>Radius of the earth; default = 6378137m</dd>

</dl>

haversine: Haversine great circle distance

Description

Usage

Value

Arguments

Author

Details

References

Examples