gbm.perspec

0th

Percentile

gbm perspective plot

Takes a gbm boosted regression tree object produced by gbm.step and plots a perspective plot showing predicted values for two predictors as specified by number using x and y. Values for all other variables are set at their mean by default but values can be specified by giving a list consisting of the variable name and its desired value, e.g., c(name1 = 12.2, name2 = 57.6)

Keywords
spatial
Usage
gbm.perspec(gbm.object, x = 1, y = 2, pred.means = NULL, x.label = NULL, x.range = NULL,
 y.label = NULL, z.label = "fitted value", y.range = NULL, z.range = NULL, 
 leg.coords = NULL, ticktype = "detailed", theta = 55, phi = 40, smooth = "none",
 mask = FALSE, perspective = TRUE, ...)
Arguments
gbm.object

object of class gbm

x

the first variable to be plotted

y

the second variable to be plotted

pred.means

allows specification of values for other variables

x.label

allows manual specification of the x label

x.range

manual range specification for the x variable

y.label

and y label

z.label

default z label

y.range

and the y

z.range

allows control of the vertical axis

leg.coords

can specify coords (x, y) for legend

ticktype

specifiy detailed types - otherwise "simple"

theta

rotation

phi

and elevation

smooth

controls smoothing of the predicted surface

mask

controls masking using a sample intensity model

perspective

controls whether a contour or perspective plot is drawn

allows the passing of additional arguments to plotting routine useful options include shade, ltheta, lphi for controlling illumination and cex for controlling text size - cex.axis and cex.lab have no effect

References

Elith, J., J.R. Leathwick and T. Hastie, 2009. A working guide to boosted regression trees. Journal of Animal Ecology 77: 802-81

Aliases
  • gbm.perspec
Documentation reproduced from package dismo, version 1.3-3, License: GPL (>= 3)

Community examples

Looks like there are no examples yet.