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Styling Vector Data

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This page is about styling vector data (point, line or polygon layers). For styling raster layers like satellite imagery or Digital Elevation Models (DEMs), refer to πŸŒ…Styling Raster Data .

The Style Editor

Once your data is uploaded to Felt (via ⬆️Upload Anything ) there are many ways to customize it using the style editor.

Choosing your map type

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Simple

The default style when you upload a data layer - a single color for all objects.

Categories

A categorical visualization maps a distinct color for every unique value in your chosen data field. A common type of categorical visualization are election maps, where a color (red, blue, etc) is assigned to every ballot choice.
When making a categorical visualization, choose between Felt’s built-in color palettes or use the πŸ€–Advanced Visualization Options to pick your own colors of choice

Color range

For numeric fields. The color of each feature will be relative to the values in its data.
Learn more about the different ways to style your data by numeric fields in πŸ“ŠData Classification Methods

Size range

Only for point datasets with numeric fields. The size of a point will be proportional to the values in its data.
Learn more about the different ways to style your data by numeric fields in πŸ“ŠData Classification Methods

Fine-tuning your styles

For both basic and data-driven styles, there are many ways to customize the look-and-feel of your data layers:
  • Opacity: from fully transparent (0%) to fully opaque (100%)
  • Style:
    • Points: choose whether the selected color applies to the point fill or stroke.
    • Lines: choose between solid lines, dashed lines or lines with a halo (cased).
    • Polygons: choose between applying the selected color to the polygon fill, stroke, fill and stroke, or stroke with halo (cased).
  • Size (points and lines only): choose between small, medium and large sizes.
  • Position (polygons only): choose whether to display polygons above or below water and roads.
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