DESCRIPTION

Package: btbtemp
Type: Package
Title: Beyond the Border - Kernel Density Estimation for Urban Geography
Description: The kernelSmoothing() function allows you to square and smooth geolocated data. It calculates a classical kernel smoothing (conservative) or a geographically weighted median. There are four major call modes of the function. 
        The first call mode is kernelSmoothing(obs, epsg, cellsize, bandwith) for a classical kernel smoothing and automatic grid.
        The second call mode is kernelSmoothing(obs, epsg, cellsize, bandwith, quantiles) for a geographically weighted median and automatic grid.
        The third call mode is kernelSmoothing(obs, epsg, cellsize, bandwith, centroids) for a classical kernel smoothing and user grid.
        The fourth call mode is kernelSmoothing(obs, epsg, cellsize, bandwith, quantiles, centroids) for a geographically weighted median and user grid.
        Geographically weighted summary statistics : a framework for localised exploratory data analysis, C.Brunsdon & al., in Computers, Environment and Urban Systems C.Brunsdon & al. (2002) <doi:10.1016/S0198-9715(01)00009-6>, 
        Statistical Analysis of Spatial and Spatio-Temporal Point Patterns, Third Edition, Diggle, pp. 83-86, (2003) <doi:10.1080/13658816.2014.937718>.
Version: 0.2.0
Date: 2022-09-20
Author: 
  Arlindo Dos Santos [aut],
  Francois Semecurbe [aut],
  Auriane Renaud [ctb],
  Cynthia Faivre [ctb],
  Thierry Cornely [ctb],
  Farida Marouchi [ctb],
  Institut national de la statistique et des études économiques [cph]
Maintainer: 
  Kim Antunez <antuki.kim+cran@gmail.com>
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
Imports: 
  Rcpp (>= 1.0.9),
  methods,
  sf,
  RcppParallel,
  RcppArmadillo
LinkingTo: Rcpp
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.2.1