High-D | Configuration panel

Configuration panel

Table of Contents

Categorical colormap
Predefined colormap
Custom colormap

High-D possesses a powerful layout, data processing, and rendering engine that offers a vast choice of customization possibilities. The configuration panel gives instant access to all the key settings, where each section can be further expanded to expose the full palette of choices to fine-tune the appearance of the various views.

Figure 1.1. The configuration panel in its default unexpanded form

Color

The Color drop down list gives the possibility of selecting which variable should be used for coloring the shapes.

Import Colormap...: Import a colormap definition and apply it to the currently selected color variable.
Export Colormap...: Export the colormap definition of the currently selected color variable.
Copy Graphics: Copy the colormap to the clipboard.
Export Graphics...: Export the colormap to a raster or vector-based graphic format.
Print...: Print the colormap.

Categorical colormap

Figure 1.2. The color pane expanded with a categorical colormap

If a categorical variable is selected, then colors are automatically assigned to each of the value. Each color can be individually customized by clicking on the color itself. Each color can be individually changed by clicking on the color cell.

Missing Value Color: If the data contains missing values, then their color can be edited here.
Reset: Allows to reassign all the values to their default color.

Predefined colormap

Figure 1.3. The color pane expanded with a predefined colormap

If a numerical variable is selected, High-D offers the possibility of setting the lowest and highest values that should be mapped to the selected colormap. If the variable contains negative values, the range is automatically made symmetric.

Palette: A color palette can be selected from a wide range of predefined color palettes
Maximum: Sets the upper bound of the colormap.
Minimum: Sets the lower bound of the colormap.
Set to Data Range: Set the minimum and maximum of the colormap to the minimum and maximum values of the data.
Set to Symmetrical Range around 0: Will make the colormap symmetrical should it contain negative values.
Set to Rounded Range: Will round the minimum and maximum values to their next power of 10 value.
Number of Steps: Can be used to segment the palette into a specified number of discrete colors.
Inverted: Invert the colormap.
Brightness: The color luminance can be adjusted by increasing or decreasing its brightness.
Saturation: The color intensity can be adjusted by increasing or decreasing its saturation.
Overflow Color: If some of the data values fall above the upper threshold, then their color can be edited here.
Underflow Color: If some of the data values fall below the lower threshold, then their color can be edited here.
Missing Value Color: If the data contains missing values, then their color can be edited here.

Custom colormap

Figure 1.4. The color pane expanded with a custom colormap

For more customization possibilities, it is also possible to define a custom colormap by setting thresholds at given values. High-D will take care of interpolating the colors if Ramps mode is selected, or will make them valid for the whole range in Steps mode.

Threshold: Define the threshold for which values equal or above its value will be assigned the associated color. Removing a threshold can be accomplished by setting its color to None. New thresholds can be added by specifying a value in the last entry of the table. The color associated to the new threshold will be automatically extrapolated from the current colormap definition.
Color: The color associated with each threshold.
Ramps/Steps: Indicates whether the values should be interpolated within the threshold ranges (Ramps) or made discrete (Steps).
Brightness: The color luminance can be adjusted by increasing or decreasing its brightness.
Saturation: The color intensity can be adjusted by increasing or decreasing its saturation.
Overflow Color: If some of the data values fall above the upper threshold, then their color can be edited here.
Underflow Color: If some of the data values fall below the lower threshold, then their color can be edited here.
Missing Value Color: If the data contains missing values, then their color can be edited here.

Rendering

More options can be customized in the Rendering pane. Each visualization can be rendered using AlphaBlended, Density, or Opaque drawing schemes.

Figure 1.5. The expanded rendering pane

Antialiasing: Gives the possibility to disabled antialiased drawing.
Show Filtered: Allows to make filtered items visible.
Geometry: Points in the parallel coordinates plots can be connected using Polylines, Steps, or Polycurves.

Legend

Figure 1.6. The legend

A graphical depiction of the color scale as well as a textual description of the main options that have been selected. The legend can be exported accessing the context menu (by right clicking the mouse):

Copy Graphics: Copy the legend to the clipboard.
Export Graphics...: Export the legend to a raster or vector-based graphic format.
Print...: Print the legend.

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