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: |
0.7.1 |
| Depends: |
R (≥ 3.3) |
| Imports: |
classInt, colourvalues, data.table, dplyr, fs, GenSA, geohashTools, ggplot2, leafem, leafgl, leaflet, methods, Rcpp, RcppProgress, sf, tmap, units, viridis |
| LinkingTo: |
Rcpp, RcppProgress |
| Suggests: |
automap, gstat, knitr, mgcv, rmarkdown, testthat, vroom |
| Published: |
2024-02-21 |
| 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 |