5

spatialrisk

Calculating Spatial Risk

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) for a description of the problem.

News

spatialrisk 0.6.1

  • Several message functions are added when points are not within polygons.

spatialrisk 0.6.0

  • A function to join coordinates (in terms of longitude and latitude) to the polygon level is added. This is useful to shade the areas with the highest risks on a choropleth map.
  • Several maps are added to the data folder.

spatialrisk 0.5.1

  • Equation for testing if a point is inside a circle is extended with testing whether point is inside a square diamond inside the square.

spatialrisk 0.3.1

  • Added a NEWS.md file to track changes to the package.

Reference manual

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install.packages("spatialrisk")

0.6.9 by Martin Haringa, 5 months ago

https://github.com/mharinga/spatialrisk, https://mharinga.github.io/spatialrisk/

Browse source code at https://github.com/cran/spatialrisk

Authors: Martin Haringa [aut, cre]

Documentation:   PDF Manual  

GPL (>= 2) license

Imports classInt, colourvalues, data.table, dplyr, fs, GenSA, geohashTools, ggplot2, leafem, leafgl, leaflet, lubridate, methods, Rcpp, RcppProgress, sf, tmap, units, viridis

Suggests automap, gstat, knitr, mgcv, rmarkdown, testthat, vroom

Linking to Rcpp, RcppProgress

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