calculate.bandwidths.by.separated.points: Calculate temporal bandwidths by separated points
In kernelPhil: Kernel Smoothing Tools for Philology and Historical Dialectology

This function calculates relationships between temporal bandwidth and spatial bandwidths at a series of specified points for a given power and suggests minimum possible temporal bandwidth such that bandwidths at those points are never greater than 2.2365the distance to the nearest point (for gaussian kernels) or 2that distance (for other kernels)

calculate.bandwidths.by.separated.points(
  dataset,
  dependent.variable = "dependent.variable",
  x = "x",
  y = "y",
  time = "year",
  weight = "weight",
  alpha = 0.05,
  margin = 0.1,
  separated.points,
  measure.times,
  temporal.bandwidth.limits,
  temporal.bandwidth.n.levels = 200,
  kernel.function = gaussian.kernel,
  projection = NA,
  include.visualisation = FALSE,
  separated.points.labels,
  round.up.low.variance = FALSE
)

`dataset`	The dataset to be smoothed as a data.frame.
`dependent.variable`	String name of the column in dataset with the dependent variable (defaults to "dependent.variable"); this column should be numeric or factor.
`x`	String name of column containing numeric x co-ordinate (defaults to "x").
`y`	String name of column containing numeric y co-ordinate (defaults to "y").
`time`	String name of the column in dataset with the time variable (defaults to "year").
`weight`	String name of column in the dataset with numeric weights (defaults to "weight").
`alpha`	Numeric alpha for calculating error margins (defaults to 0.05).
`margin`	Numeric desired error margin for calculating spatial bandwidths (defaults to 0.1).
`separated.points`	Data.frame containing two columns same names as x,y in dataset with x and y coordinates of points to be kept separate.
`measure.times`	A numeric vector of specific times at which to make estimates; if not given, will default to seq(from=min(time),to=max(time),length.out=5).
`temporal.bandwidth.limits`	A numeric vector of length 2 specifying minimum and maximum temporal bandwidth to be tested (defaults to the range of time0.01 to the range of time2).
`temporal.bandwidth.n.levels`	Number of distinct levels of temporal bandwidth to be tested (defaults to 200).
`kernel.function`	The kernel function, one of gaussian.kernel, gaussian.square.kernel, triangular.kernel, square.kernel, or a custom function (defaults to gaussian.kernel).
`projection`	A spatial projection as a proj4 string - if given, data will be projected before smoothing and results will be deprojected before returning.
`include.visualisation`	If TRUE, will return a ggplot visualisation.
`separated.points.labels`	String vector of the names of the separated points (used in the visualisation).
`round.up.low.variance`	Set to TRUE if there are periods of time with extremely low variance.