spatstat.Knet-package: Extension to 'spatstat' for Large Datasets on a Linear...

Description Details Author(s) References


Extension to the 'spatstat' package, for analysing large datasets of spatial points on a network. Provides a memory-efficient algorithm for computing the geometrically-corrected K function, described in S. Rakshit, A. Baddeley and G. Nair (2019) <doi:10.18637/jss.v090.i01>


This is an extension to the spatstat package for the analysis of large data sets on linear networks.

Its main functionality is a memory-efficient algorithm for computing the estimate of the K function on a linear network, described in Rakshit et al (2019).

The main functions are Knet and Knetinhom. These are counterparts of the functions linearK and linearKinhom in the spatstat package.

The spatstat functions linearK and linearKinhom are usable (and slightly faster) for small datasets, but require substantial amounts of memory. For larger datasets, the functions Knet and Knetinhom are much more efficient.

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Suman Rakshit [aut, cph] (<>), Adrian Baddeley [cre, cph] (<>)

Maintainer: Adrian Baddeley <[email protected]>


Rakshit, S., Baddeley, A. and Nair, G. (2019) Efficient code for second order analysis of events on a linear network. Journal of Statistical Software 90 (1) 1–37. DOI: 10.18637/jss.v090.i01

spatstat.Knet documentation built on Aug. 9, 2019, 5:07 p.m.