HS: Homogenous Segmentation for Spatial Lines Data

Methods of homogenous segmentation for spatial lines data, such as pavement performance indicators and traffic volumes. Three methods are available for homogenous segmentation, including cumulative difference approach, minimization coefficient of variation, and spatial heterogeneity based method.

Version: 1.1
Depends: R (≥ 3.4.0)
Imports: zoo, ggpubr, data.table, tidyr, reshape2, ggplot2, partitions, utils
Published: 2019-09-10
DOI: 10.32614/CRAN.package.HS
Author: Yongze Song ORCID iD [aut, cre]
Maintainer: Yongze Song <yongze.song at postgrad.curtin.edu.au>
License: GPL-2
NeedsCompilation: no
Citation: HS citation info
CRAN checks: HS results


Reference manual: HS.pdf


Package source: HS_1.1.tar.gz
Windows binaries: r-devel: HS_1.1.zip, r-release: HS_1.1.zip, r-oldrel: HS_1.1.zip
macOS binaries: r-release (arm64): HS_1.1.tgz, r-oldrel (arm64): HS_1.1.tgz, r-release (x86_64): HS_1.1.tgz, r-oldrel (x86_64): HS_1.1.tgz
Old sources: HS archive


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