Data workspace

Style and label layers

Apply single-symbol, category and numeric styling and configure labels without changing source geometry.

Style and label layers

Styling changes presentation, not the underlying geometry or attributes.

Style changes presentation, not the data

Open Style & labels in the Data/GIS window when the goal is to communicate a layer more clearly without changing its geometry or attributes. Style configuration is part of the project presentation model; Processing scope and geometry validity are separate concerns.

Current EditPolygon Style and labels tab with data-driven styling controls
The Style & labels tab controls how a layer is drawn and labelled while leaving the source feature geometry and attributes unchanged.

Single-symbol styling

Single applies one symbol to the layer. Depending on geometry family, the symbol model includes colour/fill, line weight, opacity and point radius controls as appropriate.

Use a single symbol when categories or numeric values are not part of the visual message, or when a contextual layer should remain visually quiet behind the layer you are analysing.

Categorized styling

Categorized assigns symbols from a field's distinct values. It is suitable for nominal data such as region, status, warning type or ownership class.

EditPolygon builds categories from the field values and tracks null/missing values separately. Very high-cardinality fields are usually poor choices for category styling because the resulting legend becomes difficult to interpret.

Graduated numeric classes

Graduated divides numeric values into classes. The current style engine supports equal-interval, quantile and manual class boundaries, with a configurable number of classes.

Graduated styles can drive colour and, for compatible geometry, visual size/weight targets. Choose breaks based on the meaning of the data rather than accepting a classification method mechanically.

Equal interval

Divides the numeric range into equal-sized intervals. Useful when absolute differences matter and the distribution is not severely skewed.

Quantile

Puts roughly similar numbers of records into each class. Useful for rank-style comparison, but class widths may vary substantially.

Manual

Uses boundaries you provide. Prefer this when operational thresholds or published categories already exist.

Null/invalid values

Remain distinct from numeric classes so missing data is not silently portrayed as a valid low or high value.

Continuous styling

Continuous maps a numeric field continuously across a visual ramp instead of dividing it into discrete classes. Use it when a gradual change is meaningful and a class boundary would imply a distinction that does not really exist.

The style engine includes reusable colour ramps such as Blues, Greens, Heat, Viridis, Blue–red and Purple. Colour should still be chosen for the audience and map context rather than because a palette is available.

Colour, point radius and line weight

Data-driven styling can target different visual variables where they make sense:

  • Colour for points, lines or polygon fill/stroke.
  • Radius for point magnitude.
  • Weight for line or outline emphasis.

A visual variable should match the data. For example, point radius can communicate magnitude, while colour categories are usually clearer for unordered classes.

Configure labels

The same tab manages map labels for an editable layer. Choose the attribute that should appear as the feature label and configure the available label presentation controls for the current layer.

Labels are a display property. Changing the label field does not rename records or change the underlying attribute value.

Use labels with filters and styling, not instead of them.

A map can become unreadable when every record is labelled at once. Filter, simplify the presentation or hide contextual layers when the label density overwhelms the map.

Preview and inspect at the intended map scale

A style that looks clear at statewide scale may be unusable at neighbourhood scale, and vice versa. Inspect the map at the scale where the output will actually be used.

If a numeric style looks wrong, check the underlying field statistics first. Unexpected nulls, strings in a numeric field or extreme outliers can explain a misleading classification more reliably than changing colours repeatedly.

Styling and Processing outputs

Processing tools have a style policy. Some derived outputs inherit appropriate presentation from their source; others use a derived symbol suited to the output geometry. Processing does not use layer styling to decide which features are members of an operation.

After creating a derived layer, reopen Style & labels if the output needs a purpose-specific cartographic treatment.

Styling checklist
  • The chosen style type matches the attribute's meaning.
  • Numeric fields were checked for nulls, invalid values and outliers before classification.
  • Manual thresholds are used when operational categories already exist.
  • Labels identify the intended field and remain readable at the target scale.
  • Styling is not being mistaken for filtering or Processing scope.