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

Documentation:

Reference manual:

SpNetPrep.pdf

Downloads:

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 (arm64): SpNetPrep_1.2.tgz, r-oldrel (arm64): SpNetPrep_1.2.tgz, r-release (x86_64): SpNetPrep_1.2.tgz, r-oldrel (x86_64): SpNetPrep_1.2.tgz
Old sources:	SpNetPrep archive

Linking:

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