NeighbourhoodMatrixNetwork

Given a linear network structure, this function creates the neighbourhood matrix ("queen" criterion) associated to it. Two segments of the network are neighbours if they share a vertex

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

NeighbourhoodMatrixNetwork function

<dl><dt>network</dt>
<dd>- A <code>linnet</code> object representing a linear network structure</dd></dl>

Arguments

Creates the neighbourhood structure of a linear network — NeighbourhoodMatrixNetwork

<dl>

<dt>network</dt>
<dd>- A <code>linnet</code> object representing a linear network structure</dd>

</dl>

NeighbourhoodMatrixNetwork: Creates the neighbourhood structure of a linear network

Description

Usage

Value

Arguments

Examples