gfunc_cpp2

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

gfunc_cpp2 function

<dl><dt>dist_mat</dt>
<dd>A square matrix with the distances between points</dd>
<dt>start</dt>
<dd>A float, the start value for evaluating the g-function</dd>
<dt>end</dt>
<dd>A float, the last value for evaluating the g-function</dd>
<dt>step</dt>
<dd>A float, the jump between two evaluations of the k-function</dd>
<dt>width</dt>
<dd>The width of each donut</dd>
<dt>Lt</dt>
<dd>The total length of the network</dd>
<dt>n</dt>
<dd>The number of points</dd>
<dt>wc</dt>
<dd>The weight of the points represented by the columns (destinations)</dd>
<dt>wr</dt>
<dd>The weight of the points represented by the rows (origins)</dd></dl>

Arguments

c++ g function — gfunc_cpp2

<dl>

<dt>dist_mat</dt>
<dd>A square matrix with the distances between points</dd>


<dt>start</dt>
<dd>A float, the start value for evaluating the g-function</dd>


<dt>end</dt>
<dd>A float, the last value for evaluating the g-function</dd>


<dt>step</dt>
<dd>A float, the jump between two evaluations of the k-function</dd>


<dt>width</dt>
<dd>The width of each donut</dd>


<dt>Lt</dt>
<dd>The total length of the network</dd>


<dt>n</dt>
<dd>The number of points</dd>


<dt>wc</dt>
<dd>The weight of the points represented by the columns (destinations)</dd>


<dt>wr</dt>
<dd>The weight of the points represented by the rows (origins)</dd>

</dl>

gfunc_cpp2: c++ g function

Description

Usage

Value

Arguments