points.geodata

From geoR v1.8-1 by Paulo Ribeiro Jr

Plots Spatial Locations and Data Values

This function produces a plot with points indicating the data locations. Arguments can control the points sizes, patterns and colors. These can be set to be proportional to data values, ranks or quantiles. Alternatively, points can be added to the current plot.

Keywords: spatial, dplot, aplot

Usage

# S3 method for geodata
points(x, coords=x$coords, data=x$data, data.col = 1, borders,
               pt.divide=c("data.proportional","rank.proportional",
                           "quintiles", "quartiles", "deciles", "equal"),
               lambda = 1, trend = "cte", abs.residuals = FALSE,
               weights.divide = "units.m", cex.min, cex.max, cex.var,
               pch.seq, col.seq, add.to.plot = FALSE,
               x.leg, y.leg = NULL, dig.leg = 2, 
               round.quantiles = FALSE, permute = FALSE, …)

Arguments

x: a list containing elements coords and data described next. Typically an object of the class "geodata" - a geoR data-set. If not provided the arguments coords and data must be provided instead.
coords: an $n \times 2$ matrix containing coordinates of the $n$ data locations in each row. Defaults to geodata$coords.
data: a vector or matrix with data values. If a matrix is provided each column is regarded as one variable or realization. Defaults to geodata$data.
data.col: the number of the data column. Only used if data is a matrix with columns corresponding to different variables or simulations.
borders: If an $n \times 2$ matrix or data-frame with the coordinates of the borders of the regions is provided, the borders are added to the plot. By default it searches for a element named "borders" in the geodata object.
pt.divide: defines the division of the points in categories. See DETAILS below for the available options. Defaults to pt.divide = "data.proportional".
trend: specifies the mean part of the model. The options are: "cte" (constant mean - default option), "1st" (a first order polynomial on the coordinates), "2nd" (a second order polynomial on the coordinates), or a formula of the type ~X where X is a matrix with the covariates (external trend). If provided the trend is "removed" using the function lm and the residuals are plotted.
abs.residuals: logical. If TRUE and the value passed to the argument trend is different from "cte" the point sizes are proportional to absolute values of the residuals.
lambda: value of the Box-Cox transformation parameter. Two particular cases are $\lambda = 1$ which corresponds to no transformation and $\lambda = 0$ corresponding to the log-transformation.
weights.divide: if a vector of weights with the same length as the data is provided each data is divided by the corresponding element in this vector. Defaults divides the data by the element units.m in the data object, if present, otherwise no action is taken and original data is used. The usage of units.m is common for data objects to be analysed using the package geoRglm.
cex.min: minimum value for the graphical parameter cex. This value defines the size of the point corresponding the minimum of the data. Defaults to 0.5.
cex.max: maximum value for the graphical parameter cex. This value defines the size of the point corresponding the maximum of the data. If pt.divide = "equal" it is used to set the value for the graphical parameter cex. Defaults to 1.5.
cex.var: a numeric vector with the values of a variable defining the size of the points. Particularly useful for displaying 2 variables at once.
pch.seq: number(s) defining the graphical parameter pch.
col.seq: number(s) defining the colors in the graphical parameter col.
add.to.plot: logical. If TRUE the points are added to the current plot or image otherwise a display is open. Defaults to FALSE.
x.leg, y.leg: x and y location of the legend as documented in legend.
dig.leg: the desired number of digits after the decimal point. Printing values in the legend uses formatC with argument format = "f".
round.quantiles: logical. Defines whether or not the values of the quantiles should be rounded. Defaults to FALSE.
permute: logical indication whether the data values should be randomly re-alocatted to the coordinates. See DETAILS below.
…: further arguments to be passed to the function plot, if add.to.plot = FALSE; or to the function points, if add.to.plot = TRUE.

Details

The points can be devided in categories and have different sizes and/or colours according to the argument pt.divide. The options are:

"data.proportional": sizes proportional to the data values.
"rank.proportional": sizes proportional to the rank of the data.
"quintiles": five different sizes according to the quintiles of the data.
"quartiles": four different sizes according to the quartiles of the data.
"deciles": ten different sizes according to the deciles of the data.
"equal": all points with the same size.
a scalar: defines a number of quantiles, the number provided defines the number of different points sizes and colors.
a numerical vector with quantiles and length > 1: the values in the vector will be used by the function cut as break points to divide the data in classes.

For cases where points have different sizes the arguments cex.min and cex.max set the minimum and the maximum point sizes. Additionally, pch.seq can set different patterns for the points and col.seq can be used to define colors. For example, different colors can be used for quartiles, quintiles and deciles while a sequence of gray tones (or a color sequence) can be used for point sizes proportional to the data or their ranks. For more details see the section EXAMPLES.

The argument cex.var allows for displaying 2 variables at once. In this case one variable defines the backgroung colour of the points and the other defines the points size.

The argument permute if set to TRUE randomly realocates the data in the coordinates. This may be used to contrast the spatial pattern of original data against another situation where there is no spatial dependence (when setting permute = TRUE). If a trend is provided the residuals (and not the original data) are permuted.

Value

A plot is created or points are added to the current graphics device. A list with graphical parameters used to produce the plot is returned invisibily. According to the input options, the list has some or all of the following components:

quantiles

the values of the quantiles used to divide the data.

cex

the values of the graphics expansion parameter cex.

col

the values of the graphics color parameter col.

pch

the values of the graphics pattern parameter pch.

References

Further information on the package geoR can be found at: http://www.leg.ufpr.br/geoR.

Examples

# NOT RUN {
op <- par(no.readonly = TRUE)
par(mfrow=c(2,2), mar=c(3,3,1,1), mgp = c(2,1,0))
points(s100, xlab="Coord X", ylab="Coord Y")
points(s100, xlab="Coord X", ylab="Coord Y", pt.divide="rank.prop")
points(s100, xlab="Coord X", ylab="Coord Y", cex.max=1.7,
               col=gray(seq(1, 0.1, l=100)), pt.divide="equal")
points(s100, pt.divide="quintile", xlab="Coord X", ylab="Coord Y")
par(op)

points(ca20, pt.div='quartile', x.leg=4900, y.leg=5850)

par(mfrow=c(1,2), mar=c(3,3,1,1), mgp = c(2,1,0))
points(s100, main="Original data")
points(s100, permute=TRUE, main="Permuting locations")

## Now an example using 2 variable, 1 defining the
## gray scale and the other the points size
points.geodata(coords=camg[,1:2], data=camg[,3], col="gray",
               cex.var=camg[,5])
points.geodata(coords=camg[,1:2], data=camg[,3], col="gray",
               cex.var=camg[,5], pt.div="quint")
# }

Documentation reproduced from package geoR, version 1.8-1, License: GPL (>= 2)

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