Calculate a spline curve fit in 3-D

Calculate a spline curve fit in 3-D

spline3d(x, y = NULL, z = NULL, lengthFactor = 4, verbose = FALSE, ...)

Arguments

x	numeric vector or numeric matrix or data.frame with colnames(x) containing c("x","y","z").
y, z	optional numeric vectors, used only when x is also a numeric vector.
lengthFactor	numeric multiplier used to control the number of intermediate points during smoothing between each provided point.
verbose	logical indicating whether to print verbose output.

Value

numeric matrix with colnames(x)=c("x","y","z").

Details

This function takes 3-dimensional points as input, and fits a 3-D spline curve to connect the points. It essentially calls stats::spline() on one dimension at a time, relative to the row rank.

See also

Other jam spatial functions: bgaPlotly3d(), compressPolygonM(), dfWide2segments(), simplifyXY()