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The Densogram form ()
represents smoothed density of data values along the horizontal axis using
a colourmap. This is like a Kernel Density Estimate (smoothed histogram
with bins 1 pixel wide), but instead of representing the data extent
vertically as bars or a line, values are represented by a fixedsize
pixelwidth column of a colour from a colour map. A smoothing kernel,
whose width and shape may be varied, is applied to each data point.
This is a rather unconventional way to represent density data, and this
plotting mode is probably not very useful. But hey, nobody's forcing
you to use it.
This form may be used in either the
Histogram,
Plane or
Time plot windows.
Example Densogram plot
Densogram form configuration panel
These options always appear in the form configuration panel:

Colour
 The base colour for the data set.
Only certain shader colour maps respect this value, for others it
is ignored.

Density Shader
 The colour map for displaying density values.
There are two types, relative and absolute.
Relative maps have names marked by a star ("*"), and alter the
basic dataset colour, for instance by darkening or lightening it,
while absolute maps (the rest) ignore the basic dataset colour altogether.
For a singledataset plot, the absolute maps are best, but for
multiple subsets it may be less confusing to use a relative one.

Shader Clip
 Select a subrange of the full colour map above.
If the Default checkbox is checked, then all or most
of the colour ramp from the Shader control is used.
If you want to configure the range of colours from the map yourself,
uncheck the Default checkbox, and slide the handles in from the end
of the slider to choose exactly the range you want.
The default range is clipped at one end for colour maps that fade
to white, so that all the plotted colours will be distinguisable
against a white background.
If you don't want that, you can
uncheck Default and leave the handles at the extreme ends of the slider.

Shader Flip
 Whether the density scale should map forwards or backwards
into the colour map.

Shader Quantise
 Allows the colour map to be quantised.
By default, the colour map is effectively continuous.
If you slide the slider to the right,
or enter a value in the text field,
the map will be split into
a decreasing number of discrete colours. This can be used to generate
a contourlike effect, and may make it easier to trace the boundaries
of regions of interest by eye.

Scaling
 Determines the function used to map the range of density values
onto the colour map.
Options are linear,
logarithmic,
square and
square root.

Density Subrange
 Adjusts the density range over which the colour
map is applied. By default the colour map is scaled using limits
found from the data density in the plot (the most dense few pixels are
ignored), but you can restrict the range using this slider.

Size
 Height of the density bar in pixels.

Position
 Determines where on the plot region the density bar appears. The value
should be in the range 0..1; zero corresponds to the bottom of the
plot and one to the top.
And these options appear in the form configuration panel for the Plane window,
or the
Bins control ()
for the Histogram window:

Smoothing
 Configures the smoothing width for kernel density estimation. This is
the characteristic width of the kernel function to be convolved with
the density to produce the visible plot.
Sliding the slider to the right makes the kernel width larger.
The width in data units is shown in the text field on the right
(if the X axis is logarithmic, this is a factor).
Alternatively you can click the radio button near the text field,
and enter the width in data units directly.

Kernel
 The functional form of the smoothing kernel. The functions listed
refer to the unscaled shape; all kernels are normalised to give a
total area of unity.
The available options are:

square:
Uniform value: f(x)=1, x=0..1

linear:
Triangle: f(x)=1x, x=0..1

epanechnikov:
Parabola: f(x)=1x*x, x=0..1

cos:
Cosine: f(x)=cos(x*pi/2), x=0..1

cos2:
Cosine squared: f(x)=cos^2(x*pi/2), x=0..1

gauss3: Gaussian truncated at 3.0 sigma:
f(x)=exp(x*x/2), x=0..3

gauss6: Gaussian truncated at 6.0 sigma:
f(x)=exp(x*x/2), x=0..6

Cumulative
 If true, the histogram bars plotted are calculated cumulatively; each
bin includes the counts from all previous bins.
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Next: Gaussian Form
Up: Plot Forms
Previous: KNN Form
TOPCAT  Tool for OPerations on Catalogues And Tables
Starlink User Note253
TOPCAT web page:
http://www.starlink.ac.uk/topcat/
Author email:
m.b.taylor@bristol.ac.uk
Mailing list:
topcatuser@jiscmail.ac.uk