epanechnikov_kernelos

c++ epanechnikov kernel for one distance

internal

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

epanechnikov_kernelos function

<dl><dt>d</dt>
<dd>a double, the distances for which the density must be calculated</dd>
<dt>bw</dt>
<dd>a double representing the size of the kernel bandwidth</dd></dl>

Arguments

c++ epanechnikov kernel for one distance — epanechnikov_kernelos

<dl>

<dt>d</dt>
<dd>a double, the distances for which the density must be calculated</dd>


<dt>bw</dt>
<dd>a double representing the size of the kernel bandwidth</dd>

</dl>

epanechnikov_kernelos: c++ epanechnikov kernel for one distance

Description

Usage

Arguments