corrfactor_discontinuous_sparse

a list of the neighbours of each node

neighbour_list

a numeric vector of the node id of each event

events

a DataFrame representing the lines of the graph

line_list

the kernel bandwidth for each event

the maximum recursion depth (after which recursion is stopped)

max_depth

A function to calculate the necessary information to apply the
Diggle correction factor with a discontinuous method (sparse)

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 el al (2015, ISBN:9781482210200).

Jeremy Gelb

spNetwork

Spatial Analysis on Network

Philippe Apparicio

corrfactor_discontinuous_sparse function

A function to calculate the necessary information to apply the
Diggle correction factor with a discontinuous method (sparse) — corrfactor_discontinuous_sparse

corrfactor_discontinuous_sparse: A function to calculate the necessary information to apply the Diggle correction factor with a discontinuous method (sparse)

Description

Usage

Arguments

Value