closest_points

Solve the nearest neighbour problem for two feature collections of points
This is a simple wrap-up of the dbscan::kNN function

Perform spatial analysis on network.
Implement several methods for spatial analysis on network: Network Kernel Density estimation,
building of spatial matrices based on network distance ('listw' objects from 'spdep' package), K functions estimation
for point pattern analysis on network, k nearest neighbours on network, reachable area calculation, and graph generation
References: Okabe et al (2019) <doi:10.1080/13658810802475491>;
Okabe et al (2012, ISBN:978-0470770818);Baddeley et al (2015, ISBN:9781482210200).

Jeremy Gelb

spNetwork

Spatial Analysis on Network

Philippe Apparicio

closest_points function

<dl><dt>origins</dt>
<dd>a feature collection of points</dd>
<dt>targets</dt>
<dd>a feature collection of points</dd></dl>

Arguments

Find closest points — closest_points

<dl>

<dt>origins</dt>
<dd>a feature collection of points</dd>


<dt>targets</dt>
<dd>a feature collection of points</dd>

</dl>

closest_points: Find closest points

Description

Usage

Value

Arguments

Examples