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Data Layer

LEONARDO works with an internal color palette of 30 colors, organised in 3 groups of 10 colors each. Colors 0..9 are set#1, colors 10..19 are set#2. The colors 20..29 are reserved for a grey scale.

Thing to do to adjust the Data layer:

  • Adjusting the Start Color (First Index Color).

By default, color #0 is for a topography scale from green to brown, Color #10 starts a scale for data from blue to cyan. The default color palette is designed to be used with 10 colors (Number Colours). If you want to use more (up to 20) colors, you'll need to create a different palette (see next step).

  • Change Color Palette

To change the color palette, press “Edit Color Sets…” In the upcoming dialog, you can change colors, load new palette files or save your palette here. Use drag&drop to re-arrange colors or mix new colors in the mixer and drop them into the color set.

  • Adjust Color Scale Range

If you don't like the color scale range calculated by LEONARDO, you can define your own. Deselect the option “Optimise Key to Existing Data Range” and set the First Value to start the range and the step size for the scale classes.

  • Use more than 10 Colors

In case you need more than 10 colors, you can change the number of colors in the scale by editing “Number Colors”.
Please note: Your palette should be created for more than 10 colors then. Otherwise there will be ugly changes between the two 10-color-scale palette areas.

  • Use a Floating Color Scale

Select the option “Use Floating Color Scale” if you prefer a smooth color scale instead of 10 single colors. (Looks nicer, but makes it harder to identify the value by its color)

  • Ignoring Hidden Data Points

Select the option “Ignore Grid Points with “Special” Data”. This will exclude any data value hidden by a special information from being included in the color scale range. If you don't use this option and there are undefined values below special information (for example a „0“ inside a building whereas the rest of the data is around 290 to 300) the color scale range will include this value.

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