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

Extension to the 'spatstat' family of packages, for analysing large datasets of spatial points on a network. The geometrically- corrected K function is computed using a memory-efficient tree-based algorithm described by Rakshit, Baddeley and Nair (2019).

Version: 2.0-1
Depends: R (≥ 3.5.0), (≥ 2.0), spatstat.sparse (≥ 2.0), spatstat.geom (≥ 2.0), spatstat.random (≥ 2.0), spatstat.core (≥ 2.3-2), spatstat.linnet (≥ 2.3-1), spatstat (≥ 2.0)
Imports: spatstat.utils (≥ 2.1), Matrix
Published: 2022-02-16
Author: Suman Rakshit ORCID iD [aut, cph], Adrian Baddeley ORCID iD [cre, cph]
Maintainer: Adrian Baddeley <Adrian.Baddeley at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
Citation: spatstat.Knet citation info
Materials: NEWS
CRAN checks: spatstat.Knet results


Reference manual: spatstat.Knet.pdf


Package source: spatstat.Knet_2.0-1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): spatstat.Knet_2.0-1.tgz, r-release (x86_64): spatstat.Knet_2.0-1.tgz, r-oldrel: spatstat.Knet_2.0-1.tgz
Old sources: spatstat.Knet archive


Please use the canonical form to link to this page.