Package: spheresmooth 0.1.3

spheresmooth: Piecewise Geodesic Smoothing for Spherical Data

Fitting a smooth path to a given set of noisy spherical data observed at known time points. It implements a piecewise geodesic curve fitting method on the unit sphere based on a velocity-based penalization scheme. The proposed approach is implemented using the Riemannian block coordinate descent algorithm. To understand the method and algorithm, one can refer to Bak, K. Y., Shin, J. K., & Koo, J. Y. (2023) <doi:10.1080/02664763.2022.2054962> for the case of order 1. Additionally, this package includes various functions necessary for handling spherical data.

Authors:Jae-Hwan Jhong [aut], Ja-Yong Koo [aut], Seyoung Lee [aut], Kwan-Young Bak [aut, cre, cph]

spheresmooth_0.1.3.tar.gz
spheresmooth_0.1.3.zip(r-4.7-any)spheresmooth_0.1.3.zip(r-4.6-any)spheresmooth_0.1.3.zip(r-4.5-any)
spheresmooth_0.1.3.tgz(r-4.6-any)spheresmooth_0.1.3.tgz(r-4.5-any)
spheresmooth_0.1.3.tar.gz(r-4.7-any)spheresmooth_0.1.3.tar.gz(r-4.6-any)
spheresmooth_0.1.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
spheresmooth/json (API)

# Install 'spheresmooth' in R:

install.packages('spheresmooth', repos = c('https://kybak90.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/kybak90/spheresmooth/issues

Pkgdown/docs site:https://kybak90.github.io

Datasets:

apw_spherical - A polar wander dataset
goni_spherical - A tropical cyclone dataset

On CRAN:

2.70 score 8 scripts 213 downloads 16 exports 0 dependencies

Last updated from:bf7c39b79c. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	OK	126
source / vignettes	OK	221
linux-release-x86_64	OK	133
macos-release-arm64	OK	103
macos-oldrel-arm64	OK	82
windows-devel	OK	64
windows-release	OK	55
windows-oldrel	OK	75
wasm-release	OK	120

Exports:calculate_loss cartesian_to_spherical cross dot edp exp_map geodesic geodesic_lower knots_quantile norm2 normalize normalize_lower penalized_linear_spherical_spline piecewise_geodesic spherical_dist spherical_to_cartesian

Dependencies:

Help page	Topics
A polar wander dataset	apw_spherical
Calculate Loss Function	calculate_loss
Convert Cartesian coordinates to spherical coordinates	cartesian_to_spherical
Compute the cross product of two vectors	cross
Compute the dot product of two vectors	dot
Compute the equal-distance projection of a point onto the xy plane	edp
Compute the exponential map on the unit sphere.	exp_map
Compute the value of the geodesic curve connecting two points on the unit sphere for a given set of time points t	geodesic
Compute the value of the geodesic curve connecting two points on the unit sphere for a given time point t	geodesic_lower
A tropical cyclone dataset	goni_spherical
Generate knots for the piecewise geodesic curve based on the quantiles	knots_quantile
Compute the L2 norm (Euclidean norm) of a vector	norm2
Normalize a matrix row-wise	normalize
This function normalizes the the input vector v by dividing its L2 norm (Euclidean norm).	normalize_lower
Penalized Linear Spherical Spline	penalized_linear_spherical_spline
Piecewise Geodesic	piecewise_geodesic
Piecewise Geodesic Smoothing for Spherical Data	spheresmooth
Calculate spherical distance between two vectors	spherical_dist
Convert spherical coordinates to Cartesian coordinates	spherical_to_cartesian

Package: spheresmooth 0.1.3

spheresmooth: Piecewise Geodesic Smoothing for Spherical Data

Citation

Development and contributors

Readme and manuals

Help Manual

Usage by other packages (reverse dependencies)