Package: HS 1.1

Yongze Song

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.

Authors:Yongze Song [aut, cre]

HS_1.1.tar.gz
HS_1.1.tar.gz(r-4.5-noble)HS_1.1.tar.gz(r-4.4-noble)
HS_1.1.tgz(r-4.4-emscripten)HS_1.1.tgz(r-4.3-emscripten)
HS.pdf |HS.html✨
HS/json (API)

# Install 'HS' in R:

install.packages('HS', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Datasets:

deflection - Road deflection dataset.
segid.matrix - A matrix of segmentations with different methods for data "tsdwa".
tsdwa - Traffic speed deflectometer (TSD) data of pavement deteriorations.

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

13 exports 1 stars 3.95 score 77 dependencies 32 mentions 1 scripts 215 downloads

Last updated 5 years agofrom:6e1603e12c. Checks:OK: 2. Indexed: yes.

Target	Result	Date
Doc / Vignettes	OK	Aug 28 2024
R-4.5-linux	OK	Aug 28 2024

Exports:cda findbreak hs hsctg mcv preprocessing segbycategory segcompare segplot segsmooth segsummary shs splitlong

Dependencies:abind backports boot broom car carData cli colorspace corrplot cowplot cpp11 data.table Deriv doBy dplyr fansi farver generics ggplot2 ggpubr ggrepel ggsci ggsignif glue gmp gridExtra gtable isoband labeling lattice lifecycle lme4 magrittr MASS mathjaxr Matrix MatrixModels mgcv microbenchmark minqa modelr munsell nlme nloptr nnet numDeriv partitions pbkrtest pillar pkgconfig plyr polynom purrr quantreg R6 rbibutils RColorBrewer Rcpp RcppEigen Rdpack reshape2 rlang rstatix scales sets SparseM stringi stringr survival tibble tidyr tidyselect utf8 vctrs viridisLite withr zoo

Citation

Readme and manuals

Help Manual

Help page	Topics
Cummulative difference approach (CDA) for homogeneous segmentation of spatial lines data.	cda
Road deflection dataset.	deflection
Find spaital breaking locations and add a column of breaks.	findbreak
Homogeneous segmentation function with continuous variables.	hs
Homogeneous segmentation function with both categorical and continous variables.	hsctg
Minimization coefficient of variation (MCV) for homogeneous segmentation of spatial lines data.	mcv
Preprocessing for field monitoring data.	preprocessing
Segmentation with categorical variables.	segbycategory
Segments comparison of different homogeneous segmentations methods.	plot.segcompare print.segcompare segcompare
A matrix of segmentations with different methods for data "tsdwa".	segid.matrix
Visualization of homogeneous segments.	segplot
Smoothing data using the moving average method for the homogeneous segmentation.	segsmooth
Statistical summary of homogeneous segments.	print.segsummary segsummary
Spatial heterogeneity-based segmentation (SHS) for homogeneous segmentation of spatial lines data.	shs
Split long segments to segments within length threshold.	splitlong
Traffic speed deflectometer (TSD) data of pavement deteriorations.	tsdwa

Package: HS 1.1

HS: Homogenous Segmentation for Spatial Lines Data

Citation

Readme and manuals

Help Manual

Usage by other packages (reverse dependencies)