Proj.Hauberg: Projecting the nearest point

In spherepc: Spherical Principal Curves

Description

This function performs the approximated projection for each data.

Usage

Proj.Hauberg(data, line)

Arguments

data	matrix or data frame consisting of spatial locations with two columns. Each row represents longitude and latitude.
line	longitude and latitude of line as a matrix or data frame with two columns.

Details

This function returns the nearest points in line for each point in the data. The function requires to load the 'geosphere' R package.

Value

matrix consisting of spatial locations with two columns.

Author(s)

Jongmin Lee

References

Hauberg, S. (2016). Principal curves on Riemannian manifolds. IEEE Transactions on Pattern Analysis and Machine Intelligence, 38, 1915-1921.

Jang-Hyun Kim, Jongmin Lee and Hee-Seok Oh. (2020). Spherical Principal Curves <arXiv:2003.02578>.

Jongmin Lee, Jang-Hyun Kim and Hee-Seok Oh. (2021). Spherical principal curves. IEEE Transactions on Pattern Analysis and Machine Intelligence, 43, 2165-2171. <doi.org/10.1109/TPAMI.2020.3025327>.

See Also

SPC.Hauberg

Examples

library(geosphere)
Proj.Hauberg(rbind(c(0, 0), c(10, -20)), rbind(c(50, 10), c(40, 20), c(30, 30)))

spherepc documentation built on Oct. 7, 2021, 9:14 a.m.