plotrelp

This function plots the relative probability of occurrence of a type of event along a linear network

Performs the identification of differential risk hotspots (Briz-Redon et al. 2019) <doi:10.1016/j.aap.2019.105278> along a linear network. Given a marked point pattern lying on the linear network, the method implemented uses a network-constrained version of kernel density estimation (McSwiggan et al. 2017) <doi:10.1111/sjos.12255> to approximate the probability of occurrence across space for the type of event specified by the user through the marks of the pattern (Kelsall and Diggle 1995) <doi:10.2307/3318678>. The goal is to detect microzones of the linear network where the type of event indicated by the user is overrepresented.

Alvaro Briz-Redon

DRHotNet

Differential Risk Hotspots in a Linear Network

plotrelp function

<dl><dt>X</dt>
<dd>- A <code>lpp</code> object representing a marked point pattern lying on a road network (<code>linnet</code> object)</dd>
<dt>rel_probs</dt>
<dd>- An object containing the relative probabilities of a specific type of event along the linear network contained in <code>X</code>, generated through the function <code>relpnet</code></dd>
<dt>eps_image</dt>
<dd>- If set to <code>TRUE</code>, an .eps image is generated. By default it is set to <code>FALSE</code></dd></dl>

Arguments

Plots an object obtained with relpnet — plotrelp

<dl>

<dt>X</dt>
<dd>- A <code>lpp</code> object representing a marked point pattern lying on a road network (<code>linnet</code> object)</dd>


<dt>rel_probs</dt>
<dd>- An object containing the relative probabilities of a specific type of event along the linear network contained in <code>X</code>, generated through the function <code>relpnet</code></dd>


<dt>eps_image</dt>
<dd>- If set to <code>TRUE</code>, an .eps image is generated. By default it is set to <code>FALSE</code></dd>

</dl>

plotrelp: Plots an object obtained with `relpnet`

Description

Usage

Arguments

Examples