split_by_grid_abw

Function to split the dataset according to a grid for the
adaptive bw function.

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

split_by_grid_abw function

<dl><dt>grid</dt>
<dd>A spatial grid to split the data within</dd>
<dt>events</dt>
<dd>A feature collection of points representing the events</dd>
<dt>lines</dt>
<dd>A feature collection of lines representing the network</dd>
<dt>bw</dt>
<dd>The kernel bandwidth (used to avoid edge effect)</dd>
<dt>tol</dt>
<dd>A float indicating the spatial tolerance when snapping events on
lines</dd>
<dt>digits</dt>
<dd>The number of digits to keep</dd></dl>

Arguments

Split data with a grid for the adaptive bw function — split_by_grid_abw

<dl>

<dt>grid</dt>
<dd>A spatial grid to split the data within</dd>


<dt>events</dt>
<dd>A feature collection of points representing the events</dd>


<dt>lines</dt>
<dd>A feature collection of lines representing the network</dd>


<dt>bw</dt>
<dd>The kernel bandwidth (used to avoid edge effect)</dd>


<dt>tol</dt>
<dd>A float indicating the spatial tolerance when snapping events on
lines</dd>


<dt>digits</dt>
<dd>The number of digits to keep</dd>

</dl>

split_by_grid_abw: Split data with a grid for the adaptive bw function

Description

Usage

Value

Arguments

Examples