bdm.wtt.plot: Plot WTT (clustering)

In jgarriga65/bigMap: Big Data Mapping

Plot WTT (clustering)

Description

Plot WTT (clustering)

Usage

bdm.wtt.plot(
  bdm,
  pakde.pltt = NULL,
  pakde.lvls = 16,
  wtt.lwd = 1,
  plot.peaks = T,
  labels.cex = 1,
  layer = 1
)

Arguments

bdm	A bdm instance as generated by bdm.init() or a list of them to make a comparative plot.
pakde.pltt	A colour palette to show levels in the paKDE plot. By default (pakde.pltt = NULL) the default palette is used.
pakde.lvls	The number of levels of the density heat-map (16 by default).
wtt.lwd	The width of the watertrack lines (as set in par()).
plot.peaks	Logical value (TRUE by default). If set to TRUE and the up-stream step bdm$wtt() is computed marks the peak of each cluster.
labels.cex	If plot.peaks is TRUE, the size of the labels of the clusters (as set in par()). By default labels.cex = 0.0 and the labels of the clusters are not depicted.
layer	The bdm$ptsne layer to be used (default value is layer = 1).

Value

None.

Examples

bdm.example()
m <- bdm.wtt.plot(ex$map)

jgarriga65/bigMap documentation built on June 10, 2024, 7:05 a.m.