Kernel density estimation correcting for border bias (R package)

Arthur Charpentier and Ewen Gallic

This package proposes some R codes to compute the kernel density estimates of two-dimensional data points, using an extension of Ripley's circumference method to correct for border bias. The method is described in our article: Charpentier, A. & Gallic, E. (2015). Kernel density estimation based on Ripley’s correction. GeoInformatica, 1-22. Springer.

To install the package in R, from Github:

# install.packages("devtools")
devtools::install_github("ripleyCorr/kdeborder")

Some examples are given:

• On the following repository https://github.com/ripleyCorr/Kernel_density_ripley
• On http://egallic.fr/R/sKDE/smooth-maps/kde.html with images incorporated.

Some explanations are available on our blogs:

• http://freakonometrics.hypotheses.org/17486
• http://egallic.fr/kernel-density-estimation-with-ripleys-circumferential-correction/