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
Repository: CRAN
Packaged: 2023-07-16 21:22:51 UTC; Usuario
Date/Publication: 2023-07-16 21:40:06 UTC
Built: R 4.6.0; ; 2026-04-25 13:40:10 UTC; unix
