plot.SpatialStreamNetwork: Plotting Method for SpatialStreamNetwork Objects

In SSN: Spatial Modeling on Stream Networks

Plotting Method for SpatialStreamNetwork Objects

Description

plot.SpatialStreamNetwork is a generic plot function that has been adapted for SpatialStreamNetwork objects that have been created in SSN.

Usage

## S3 method for class 'SpatialStreamNetwork'
plot(x, VariableName=NULL, color.palette= NULL, 
  nclasses = NULL, breaktype = "quantile", brks = NULL, PredPointsID = NULL,
  add = FALSE, addWithLegend=FALSE, lwdLineCol = NULL, lwdLineEx = 1, 
  lineCol = "black", ...)

Arguments

x	an object of class SpatialStreamNetwork.
VariableName	a response variable name in the data.frame of observed data in the SpatialStreamNetwork object. If NULL (default), just locations are plotted. If a variable is specified, it will be colored according to its value.
color.palette	a color palette for plotting points. The default is rainbow(nclasses, start = .66, end = .99). The number of colors should equal the number of classes. See palette for many ways to create palettes.
nclasses	the number of classes for coloring the predictions (or standard errors) according to their value. The default is 10. If brks = c(...) is specified, then nclasses is automatically set to the number of unique breaks + 1.
breaktype	the method for breaking the response values into classes for coloring while plotting. A character argument that must be one of "quantile" (default), "even", or "user".
brks	if breaktype = "user", the break values must be specified here as a vector or matrix using c(...) or cbind(...). The sorted unique values are used as break points (together with the min and max of the variable being plotted if required).
PredPointsID	a string representing the internal name of the prediction sites data set, which will be added to the plot. Default is NULL.
add	logical indicating whether the predictions should be added to an existing plot, such as a plot of the stream network and observed locations. Use this if there is no legend. Default is FALSE.
addWithLegend	logical indicating whether the predictions should be added to an existing plot, such as a plot of colored values for observed data. Use this when there is a legend. Default is FALSE.
lwdLineCol	a column name in the lines data frame to be used for line width expansion. This will most likely be the name of the additive function column, but others could be used.
lwdLineEx	an expansion multiplier to create line widths for the values contained in lwdLineCol.
lineCol	a color for the lines forming the stream network. Default is "black".
...	arguments to be passed to methods, such as graphical parameters (see par).

Details

The plot.SpatialStreamNetwork function creates a map showing data locations that can be color-coded according to the values of observed variables. Prediction locations can also be added to existing plots of observed values.

Value

Maps of stream networks

Author(s)

Jay Ver Hoef [e-mail]

See Also

SpatialStreamNetwork-class, plot

Examples

library(SSN)
#for examples, copy MiddleFork04.ssn directory to R's temporary directory
copyLSN2temp()
# NOT RUN
# Create a SpatialStreamNetork object that also contains prediction sites
mf04p <- importSSN(paste0(tempdir(),'/MiddleFork04.ssn'), 
  predpts = "pred1km", o.write = TRUE)
names(mf04p)
summary(mf04p)

#generic plotting includes stream network and observed locations
plot(mf04p)

#plot including the color coding the response variable
plot(mf04p, "Summer_mn")

#plot using user-defined breakpoints
plot(mf04p, "Summer_mn", breaktype = "user", brks = seq(8,16,by=1))

#pass normal plotting arguments, such as xlab and ylab, to plot
plot(mf04p, "Summer_mn", xlab = "x-coordinate", ylab = "y-coordinate")

# plot observations and prediction values
plot(mf04p, "Summer_mn", cex = 2, xlab = "x", ylab = "y")
plot(mf04p, PredPointsID = "pred1km", addWithLegend = TRUE)

SSN documentation built on March 7, 2023, 5:30 p.m.