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 Styling Raster Data .
The Style EditorChoosing your layer typeSimpleCategoriesColor rangeSize rangeHeatmapH3Fine-tuning your stylesLabelling your dataZoom-Based stylingSetting VisibilityInterpolating styling propertiesCustomizing your legendsAdding metadataResetting layer styles
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 layer type
Simple
The default style when you upload a data layer — a single color for all features.
Categories
A categorical visualization maps a distinct color for every unique value of your chosen data attribute. 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 Advanced Visualization Options to pick your own colors of choice.
Color range
For numeric attributes. 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 Data Classification Methods.
Size range
Available for point and line layers with numeric attributes. The size of a point or line will be proportional to the values in its data.
Learn more about the different ways to style your data by numeric fields in Data Classification Methods.
Heatmap
Available for point layers. Select a color palette and adjust the size and intensity styling properties to refine the visualization.
H3
Available for point layers. Display point counts or aggregated numeric attributes (sum, average, max, or min) in each hexagon. Provide a specific H3 resolution for a visualization that doesn’t change across zoom levels, or set the layer to adjust resolution based on zoom. Use popups to show other aggregated values on hover or click.
Note: Filtered H3 visualizations are estimates. For optimal accuracy, update the layer after filtering it.
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).