highriskzone: Determining and Evaluating High-Risk Zones

Functions for determining and evaluating high-risk zones and simulating and thinning point process data, as described in 'Determining high risk zones using point process methodology - Realization by building an R package' Seibold (2012) <http://highriskzone.r-forge.r-project.org/Bachelorarbeit.pdf> and 'Determining high-risk zones for unexploded World War II bombs by using point process methodology', Mahling et al. (2013) <doi:10.1111/j.1467-9876.2012.01055.x>.

Version:	1.4.7
Depends:	fields, rgeos
Imports:	spatstat (≥ 1.54-0), methods, stats, utils, mvtnorm, ks, deldir, Matrix, maps, spatstat.random, spatstat.geom, spatstat.core
Suggests:	INLA
Published:	2022-03-04
Author:	Heidi Seibold, Monia Mahling, Sebastian Linne, Felix Guenther
Maintainer:	Rickmer Schulte <R.Schulte at campus.lmu.de>
License:	MIT + file LICENSE
NeedsCompilation:	no
Additional_repositories:	https://inla.r-inla-download.org/R/stable/
CRAN checks:	highriskzone results

Documentation:

Reference manual:

highriskzone.pdf

Downloads:

Package source:	highriskzone_1.4.7.tar.gz
Windows binaries:	r-devel: highriskzone_1.4.7.zip, r-release: highriskzone_1.4.7.zip, r-oldrel: highriskzone_1.4.7.zip
macOS binaries:	r-release (arm64): highriskzone_1.4.7.tgz, r-oldrel (arm64): highriskzone_1.4.7.tgz, r-release (x86_64): highriskzone_1.4.7.tgz, r-oldrel (x86_64): highriskzone_1.4.7.tgz
Old sources:	highriskzone archive

Linking:

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