If we want a group cluster based on properties while having separate classes for each group of cluster, we use a combination of classes with their expressions and corresponding cluster with expressions.
To put the point that should belong to the different classes used in this example column “marked” (Classitem) and that in each class entered one expression (Expression) and type of expression (Expression type). In this case, use the type “String”.
The value-set are obtained from the characteristic column “marked” to relevant data sets.
Here we use a different color (Fill Color) as fill color, a different color on the outer edge (Outline color), size of the symbol (symbol size), one symbol (symbol) and a width of the outer edge (Width).
For clustering, it is indicated that the ellipse will be Criteria (Region) and that the distance between the real objects, points, from Criteria shall be maximum 50 px (Max distance). For grouping objects should belong to the individual groups of clusters are used one expression corresponding to classes. In this example used one expression that ” ‘[labeled]’ = ‘h'” in (Group) and selected a type phrase, “Expression” (Group type).
In addition, its entered any label for points, one label that will print the number of points that each cluster comprises. This is done by selecting one appearance on the label (Label style) and specify what is to be printed “[Cluster: Feature Count],” which is one expression of the number.
Example on klasse 1 og cluster 1:
Example on klasse 2 og cluster 2:
Example on legend
Example on map