Methods for spatial risk calculations. It offers an efficient
approach to determine the sum of all observations within a circle of a
certain radius. This might be beneficial for insurers who are required (by
a recent European Commission regulation) to determine the maximum value of
insured fire risk policies of all buildings that are partly or fully located
within a circle of a radius of 200m. See Church (1974)
<doi:10.1007/BF01942293> for a description of the problem.
Version: |
0.7.2 |
Depends: |
R (≥ 4.1.0) |
Imports: |
classInt, data.table, dplyr, fs, ggplot2, lifecycle, mapview, Rcpp, RcppProgress, rlang, sf, terra, tmap, units, viridis |
LinkingTo: |
Rcpp, RcppProgress |
Suggests: |
colourvalues, GenSA, geohashTools, knitr, leafem, leafgl, leaflet, mgcv, rmarkdown, testthat, vroom |
Published: |
2025-05-25 |
DOI: |
10.32614/CRAN.package.spatialrisk |
Author: |
Martin Haringa [aut, cre] |
Maintainer: |
Martin Haringa <mtharinga at gmail.com> |
BugReports: |
https://github.com/mharinga/spatialrisk/issues |
License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
URL: |
https://github.com/mharinga/spatialrisk,
https://mharinga.github.io/spatialrisk/ |
NeedsCompilation: |
yes |
Materials: |
NEWS |
CRAN checks: |
spatialrisk results |