adaptive_bw_tnkde.mc: Adaptive bandwidth for TNDE (multicore)

Description

Function to calculate Adaptive bandwidths according to Abramson’s smoothing regimen for TNKDE with a space-time interaction with multicore support.

Usage

adaptive_bw_tnkde.mc(
  grid,
  events_loc,
  events,
  lines,
  bw_net,
  bw_time,
  trim_bw_net,
  trim_bw_time,
  method,
  kernel_name,
  max_depth,
  div,
  tol,
  digits,
  sparse,
  verbose
)

Value

A vector with the local bandwidths

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_net: The fixed kernel bandwidth for the network dimension
bw_time: The fixed kernel bandwidth for the time dimension
trim_bw_net: The maximum size of local bandiwidths for network dimension
trim_bw_time: The maximum size of local bandiwidths for time dimension
method: The method to use when calculating the NKDE
kernel_name: The name of the kernel to use
max_depth: The maximum recursion depth
div: The divisor to use for kernels
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

Examples

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