CRAN/E | DRHotNet

DRHotNet

Differential Risk Hotspots in a Linear Network

Installation

About

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.

Key Metrics

Version 2.3
R ≥ 3.5.0
Published 2023-07-16 279 days ago
Needs compilation? no
License GPL-2
CRAN checks DRHotNet results

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Maintainer

Maintainer

Alvaro Briz-Redon

alvaro.briz@uv.es

Authors

Alvaro Briz-Redon

Material

Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

DRHotNet archive

Depends

R ≥ 3.5.0

Imports

graphics
grDevices
PBSmapping
raster
sp
spatstat.geom
spatstat.linnet
spatstat ≥ 2.0-0
spdep
stats
utils

Suggests

knitr
rmarkdown