DRHotNet
Differential Risk Hotspots in a Linear Network
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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
2.3 |
rolling linux/jammy R-4.5 | DRHotNet_2.3.tar.gz |
386.4 KiB |
2.3 |
rolling linux/noble R-4.5 | DRHotNet_2.3.tar.gz |
386.4 KiB |
2.3 |
rolling source/ R- | DRHotNet_2.3.tar.gz |
328.0 KiB |
2.3 |
latest linux/jammy R-4.5 | DRHotNet_2.3.tar.gz |
386.4 KiB |
2.3 |
latest linux/noble R-4.5 | DRHotNet_2.3.tar.gz |
386.4 KiB |
2.3 |
latest source/ R- | DRHotNet_2.3.tar.gz |
328.0 KiB |
2.3 |
2026-04-26 source/ R- | DRHotNet_2.3.tar.gz |
328.0 KiB |
2.3 |
2026-04-23 source/ R- | DRHotNet_2.3.tar.gz |
328.0 KiB |
2.3 |
2026-04-09 windows/windows R-4.5 | DRHotNet_2.3.zip |
389.6 KiB |
2.3 |
2025-04-20 source/ R- | DRHotNet_2.3.tar.gz |
328.0 KiB |