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NAME

r.series.boxplot - Draws the boxplot of raster values of a series of input rasters.

KEYWORDS

display, raster, plot, boxplot, statistics

SYNOPSIS

r.series.boxplot
r.series.boxplot --help
r.series.boxplot [-onhg] map=name[,name,...] [output=file name] [plot_dimensions=string] [dpi=integer] [range=float] [text_labels=string] [rotate_labels=float] [boxplot_width=float] [bxcolor=name] [fontsize=integer] [flier_marker=string] [flier_size=string] [flier_color=name] [--overwrite] [--help] [--verbose] [--quiet] [--ui]

Flags:

-o
Include outliers
Draw boxplot(s) with outliers
-n
Draw the notch
Draw boxplot(s) with notch
-h
Horizontal boxplot(s)
Draw the boxplot horizontal
-g
grid lines
add grid lines
--overwrite
Allow output files to overwrite existing files
--help
Print usage summary
--verbose
Verbose module output
--quiet
Quiet module output
--ui
Force launching GUI dialog

Parameters:

map=name[,name,...] [required]
input raster
output=file name
Name of output image file
Name for output file
plot_dimensions=string
Plot dimensions (width,height)
Dimensions (width,height) of the figure in inches
dpi=integer
DPI
Set the resolution of plot
range=float
Range (value > 0)
This determines how far the plot whiskers extend out from the box. If range is positive, the whiskers extend to the most extreme data point which is no more than range times the interquartile range from the box. A value of zero causes the whiskers to extend to the data extremes.
Default: 1.5
text_labels=string
Boxplot text labels
Give labels of the boxplots (comma separated). If you leave this empty, the raster layer names will be used as labels.
rotate_labels=float
Rotate labels (degrees)
Rotate labels (degrees)
Options: 0-365
boxplot_width=float
Set boxplot width
The width of the boxplots (0,1])
bxcolor=name
Boxplot color
Color of the boxplots. See manual page for color notation options.
Default: black
fontsize=integer
Font size
Default font size
flier_marker=string
Flier marker
Set flier marker (see https://matplotlib.org/stable/api/markers_api.html for options)
flier_size=string
Flier size
Set flier size
flier_color=name
Flier color
Set flier color
Default: black

Table of contents

DESCRIPTION

r.seriesboxplot draws boxplots of series of input raster layers. It can be used to display both temporal patterns and spatial variation.

The whiskers of the boxplots extend to the most extreme data point, which is no more than range ✕ the interquartile range (iqr) from the box. By default, a range of 1.5 is used, but the user can change this. Note that range values need to be larger than 0. By default, outliers are not included in the plot. Set the -o flag to include them in the plot.

There are a few layout options, including the option to rotate the plot and the x-axis labels, print the boxplot(s) with notches, and define the color of the boxplots.

By default, the raster names are used as labels, but the user can explicitly define the labels (example 3 below). The number of labels need to be the same as the number of input raster layers.

By default, the resulting plot is displayed on screen. However, the user can also save the plot to file using the em>output option. The format is determined by the extension given by the user. So, if output = outputfile.png, the plot will be saved as a *png* file. The user can set the output size (in inches) and resolution (dpi) of the output image.

NOTE

If you work with a large number of raster layers, of if the raster layers are very large, try to avoid setting the 'range' value very low, as that may result in a massive number of outliers, slowing down the computations and rendering of the plot.

EXAMPLE

The examples use the North Carolina full dataset, which you can download from [here](https://grass.osgeo.org/download/data/#NorthCarolinaDataset).

Example 1

Three landsat layers are provided as input. In addition, plot dimensions are set to 12 inch wide, 6 inch height.
r.series.boxplot plot_dimensions=12,6 \
map=lsat7_2002_10,lsat7_2002_20,lsat7_2002_30,lsat7_2002_40,lsat7_2002_50

Example 2

The example below uses the same layers as input. In addition, it defines the colors for the boxplots, rotates the labels and sets the fontsize to 14.
r.series.boxplot plot_dimensions=12,6 \
map=lsat7_2002_10,lsat7_2002_20,lsat7_2002_30,lsat7_2002_40,lsat7_2002_50 \
bxcolor=green rotate_labels=45 fontsize=14

See [here](https://matplotlib.org/stable/tutorials/colors/colors.html) for the different formats in which colors can be specified.

Example 3

Same example as above, but this time, the outliers are plotted as well (in blue). And the labels are explicitly defined.
r.series.boxplot -o plot_dimensions=12,6 rotate_labels=45 fontsize=14 \
map=lsat7_2002_10,lsat7_2002_20,lsat7_2002_30,lsat7_2002_40,lsat7_2002_50 \
flier_color=blue bxcolor=green \
text_labels="2002 10,2002 20,2002 30,2002 40,2002 50"

Acknowledgements

This work was carried in the framework of the Save the tiger, save the grassland, save the water project by the Innovative Bio-Monitoring research group of the HAS University of Applied Sciences.

SEE ALSO

AUTHOR

Paulo van Breugel
Applied Geo-information Sciences
HAS University of Applied Sciences

SOURCE CODE

Available at: r.series.boxplot source code (history)

Latest change: Friday Aug 26 17:55:47 2022 in commit: e1ca85ae455cb0e8c06c5f1bd6f929d1be00a2f3


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