spatstat.Knet

Extension to spatstat package for large data sets on a linear network

This is an extension of the spatstat package.

It computes the K function, pair correlation function and inhomogeneous versions of these functions, for point pattern on a linear network, using the algorithms described in S. Rakshit, A Baddeley and G. Nair (2019) Efficient code for second order analysis of events on a linear network. Journal of Statistical Software 90 (1) 1-37.

This GitHub repository holds the development version of spatstat.Knet. The development version is newer than the official release of spatstat.Knet on CRAN.

Installing the official release

For the most recent official release of spatstat.Knet, see the CRAN page. To install it, just type

install.packages('spatstat.Knet')

Installing the development version

The easiest way to install the development version of spatstat.Knet from github is through the remotes package:

require(remotes)
install_github('spatstat/spatstat')
install_github('spatstat/spatstat.Knet')

If you don't have remotes installed you should first run

install.packages('remotes')