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: 1.1
Depends: R (≥ 3.5.0)
Imports: spatstat, leaflet, shiny, sp, raster, maptools, rgdal, shinythemes, prodlim
Suggests: knitr, rmarkdown, testthat
Published: 2018-08-29
Author: Alvaro Briz-Redon
Maintainer: Alvaro Briz-Redon <alvaro.briz at uv.es>
License: GPL-2
NeedsCompilation: no
Materials: README
CRAN checks: SpNetPrep results


Reference manual: SpNetPrep.pdf
Package source: SpNetPrep_1.1.tar.gz
Windows binaries: r-devel: SpNetPrep_1.1.zip, r-release: SpNetPrep_1.1.zip, r-oldrel: SpNetPrep_1.1.zip
macOS binaries: r-release: SpNetPrep_1.1.tgz, r-oldrel: SpNetPrep_1.1.tgz
Old sources: SpNetPrep archive


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