Package: DRHotNet
Title: Differential Risk Hotspots in a Linear Network
Version: 2.3
Author: Alvaro Briz-Redon
Maintainer: Alvaro Briz-Redon <alvaro.briz@uv.es>
Description: 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.
Depends: R (>= 3.5.0)
Imports: graphics, grDevices, PBSmapping, raster, sp, spatstat.geom,
        spatstat.linnet, spatstat (>= 2.0-0), spdep, stats, utils
License: GPL-2
LazyData: true
RoxygenNote: 7.1.1
Suggests: knitr, rmarkdown
NeedsCompilation: no
Packaged: 2026-06-19 08:10:07 UTC; root
Config/pak/sysreqs: libabsl-dev cmake libgdal-dev gdal-bin libgeos-dev
        libssl-dev libproj-dev libsqlite3-dev libudunits2-dev
Repository: https://albrizre.r-universe.dev
Date/Publication: 2023-07-16 22:32:32 UTC
RemoteUrl: https://github.com/cran/DRHotNet
RemoteRef: HEAD
RemoteSha: 75fc062c3b1ca373fd7911673ddfb644a41b1e12