Package: spatialrisk
Type: Package
Title: Spatial Concentration and Radius-Based Risk Calculations
Version: 0.8.2
Authors@R: c(person("Martin", "Haringa", role = c("aut", "cre"), 
    email = "mtharinga@gmail.com"))
Author: Martin Haringa [aut, cre]
Maintainer: Martin Haringa <mtharinga@gmail.com>
BugReports: https://github.com/mharinga/spatialrisk/issues
Description: Provides computational building blocks for fixed-radius spatial 
    aggregation, weighted circle-placement problems, hotspot detection, and 
    polygon-based spatial summaries. The package focuses on efficient 
    determination of the sum of observations within a given radius, identifying 
    areas of high local concentration, and aggregating point data to polygon 
    geometries. These methods are useful for applications such as insurance, 
    urban analytics, environmental exposure analysis, and other spatial point 
    pattern workflows. The fixed-radius circle placement problem is discussed 
    by Chazelle and Lee (1986) <doi:10.1007/BF02238188>, and 
    related maximum covering problems are described by Church (1974) 
    <doi:10.1007/BF01942293>.
License: GPL (>= 2)
URL: https://github.com/mharinga/spatialrisk,
        https://mharinga.github.io/spatialrisk/
LazyData: true
LinkingTo: Rcpp, RcppProgress
Depends: R (>= 4.1.0)
Imports: data.table, dplyr, fs, lifecycle, Rcpp, RcppProgress, rlang,
        sf, terra, units
Encoding: UTF-8
Suggests: classInt, colourvalues, GenSA, geohashTools, ggplot2, knitr,
        leafem, leafgl, leaflet, mapview, mgcv, rmarkdown, testthat,
        tmap, vroom
VignetteBuilder: knitr
Config/roxygen2/version: 8.0.0
NeedsCompilation: yes
Packaged: 2026-09-01 11:25:37 UTC; martin
Repository: CRAN
Date/Publication: 2026-09-01 12:40:02 UTC
Built: R 4.6.1; x86_64-w64-mingw32; 2026-09-01 23:52:04 UTC; windows
Archs: x64
