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spatialrisk (version 0.7.1)

Calculating Spatial Risk

Description

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.

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Install

install.packages('spatialrisk')

Monthly Downloads

388

Version

0.7.1

License

GPL (>= 2)

Issues

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Repository

https://github.com/mharinga/spatialrisk

Homepage

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

Maintainer

Martin Haringa

Last Published

February 21st, 2024

Functions in spatialrisk (0.7.1)

points_in_circle

Points in circle

Objects exported from other packages

points_to_polygon

Aggregate attributes of coordinates to area level

Object of class sf for 4-digit postcode regions in the Netherlands

plot.concentration

Automatically create a plot for objects obtained from highest_concentration()

plot.neighborhood

Automatically create a plot for objects obtained from neighborhood_gh_search()

Create map with points

Object of class sf for 3-digit postcode regions in the Netherlands

Object of class sf for provinces in the Netherlands

Haversine great circle distance

add_gh_bbox_sum

Determine total sum for each geohash with buffer of 200m

highest_concentration

Highest concentration risk

interpolate_krige

Ordinary kriging

Concentration risk

choropleth_ggplot2

Map object of class sf using ggplot2

Create choropleth map

neighborhood_gh_search

Search for coordinates with higher concentrations within geohash

interpolate_spline

Splines on the sphere

knmi_historic_data

Retrieve historic weather data for the Netherlands

Sum insured per postal code in the Netherlands

Coordinates of houses in Groningen

Object of class sf for municipalities in the Netherlands

add_gh_nghbrs_sum

Determine total insured sum of all neighbours (including hash itself) df should contain a column called hash and a column with sum per hash

Determine a lower bound for highest concentration Calculate concentration for the coordinates of the highest insured sums

Object of class sf for 2-digit postcode regions in the Netherlands

Object of class sf for COROP regions in the Netherlands