Dataset Legend and Labeling

Basic Appearance = one presentation for all objects within the dataset model.
Classification = different presentation of objects in one dataset based on their attribute component.

A Classification will overrule the Basic Appearance.
All graphical parameters that are not defined by a Classification will be set through the Basic Appearance.

Legend Editor


Right-Click on the dataset in the datasetlist:


Legend Editing General information about the legend file, using the legend while editing
General Settings The appearance of models within the dataset and scale ranges for spatial or layout objects
Basic Appearance General information and overview of the Basic Appearance
Basic Appearance Points Adding symbols, choosing symbol library for point objects
Basic Appearance Lines Choosing a linestyle, adding symbols to line objects
Basic Appearance Areas Appearance of outline and fill for area objects. Adding a gradient, a texture of hatchlines to the fill
Basic Appearance Images Transparency, adjusting colors or using a transparent color for images
Basic Appearance Black and White Image Transparency, adjusting colors or using a transparent color for black and white images
Basic Appearance Rasters Transparency, adjusting colors or using a transparent color for raster images
Classification Adjusting the graphical appearance of spatial objects to attribute values
Classification via Classes or Unique values Make a Classification where the graphic parameter is based on the content of the attribute, divided in classes
Classification via Direct Link Make a Classification where the graphic parameter is based on the content of the attribute, that should have exactly the same value as the value(s) of the graphic parameter
Labeling Display attribute values as text
Pie Charts Visualise attribute values in a pie chart diagram
Pie Chart Appearance Managing the appearance of the Pie Chart
Pie Chart Examples Examples of using Pie Charts
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