adaptive_bw: Adaptive bandwidth

In spNetwork: Spatial Analysis on Network

Adaptive bandwidth

Description

Function to calculate Adaptive bandwidths according to Abramson’s smoothing regimen.

Usage

adaptive_bw(
  grid,
  events,
  lines,
  bw,
  trim_bw,
  method,
  kernel_name,
  max_depth,
  tol,
  digits,
  sparse,
  verbose
)

Arguments

grid	A spatial grid to split the data within
events	A feature collection of points representing the events points
lines	A feature collection of linestrings representing the network
bw	The fixed kernel bandwidth (can also be a vector, the value returned will be a matrix in that case)
trim_bw	The maximum size of local bandwidths (can also be a vector, must match bw)
method	The method to use when calculating the NKDE
kernel_name	The name of the kernel to use
max_depth	The maximum recursion depth
tol	A float indicating the spatial tolerance when snapping events on lines
digits	The number of digits to keep
sparse	A Boolean indicating if sparse matrix should be used
verbose	A Boolean indicating if update messages should be printed

Value

A vector with the local bandwidths

Examples

#This is an internal function, no example provided

spNetwork documentation built on June 22, 2024, 9:40 a.m.