SpNetPrep: Linear Network Preprocessing for Spatial Statistics

Launches a Shiny application that allows users to carry out some of the steps that are required to curate both a linear network object based on a road structure and a point pattern that lies on such a network, becoming two previous steps to the performance of a spatial statistics analysis.

Version: 1.2
Depends: R (≥ 3.5.0)
Imports: spatstat.geom, spatstat.core, spatstat.linnet, spatstat (≥ 2.0-0), leaflet, shiny, sp, raster, maptools, rgdal, shinythemes, prodlim
Suggests: knitr, rmarkdown, testthat
Published: 2021-03-17
Author: Alvaro Briz-Redon
Maintainer: Alvaro Briz-Redon <alvaro.briz at uv.es>
License: GPL-2
NeedsCompilation: no
Materials: README
CRAN checks: SpNetPrep results

Downloads:

Reference manual: SpNetPrep.pdf
Package source: SpNetPrep_1.2.tar.gz
Windows binaries: r-devel: SpNetPrep_1.2.zip, r-release: SpNetPrep_1.2.zip, r-oldrel: SpNetPrep_1.2.zip
macOS binaries: r-release: SpNetPrep_1.2.tgz, r-oldrel: SpNetPrep_1.2.tgz
Old sources: SpNetPrep archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=SpNetPrep to link to this page.