bw_tnkde_corr_factor: Time and Network bandwidth correction calculation

In spNetwork: Spatial Analysis on Network

Time and Network bandwidth correction calculation

Description

Caclulating the border correction factor for both time and network bandwidths

Usage

bw_tnkde_corr_factor(
  net_bws,
  time_bws,
  diggle_correction,
  study_area,
  events,
  events_loc,
  lines,
  method,
  kernel_name,
  tol,
  digits,
  max_depth,
  sparse
)

Arguments

net_bws	A vector of network bandwidths
time_bws	A vector of time bandwidths
diggle_correction	A Boolean indicating if the correction factor for edge effect must be used.
study_area	A feature collection of polygons representing the limits of the study area.
events	A feature collection of points representing the events
events_loc	A feature collection of points representing the unique location of events
lines	A feature collection of linestrings representing the underlying lines of the network
method	The name of the NKDE to use
kernel_name	The name of the kernel to use
tol	float indicating the minimum distance between the events and the lines' extremities when adding the point to the network. When points are closer, they are added at the extremity of the lines.
digits	An integer, the number of digits to keep for the spatial coordinates
max_depth	The maximal depth for continuous or discontinuous NKDE
sparse	A Boolean indicating if sparse or regular matrices should be used by the Rcpp functions. These matrices are used to store edge indices between two nodes in a graph. Regular matrices are faster, but require more memory, in particular with multiprocessing. Sparse matrices are slower (a bit), but require much less memory.

Examples

# no example provided, this is an internal function

spNetwork documentation built on Aug. 24, 2023, 5:10 p.m.