When styling a vector layer, you can customize your data by property, such as size and color. For each property, you can specify whether to use a constant or data driven value for the style.
Use static styling to specificy a constant value for a style property.
This image shows an example of static styling using the Kibana sample web logs data set. The kibana_sample_data_logs layer uses static styling for all properties.
Data driven stylingedit
Use data driven styling to symbolize features by property values. To enable data driven styling for a style property, change the selected value from Fixed or Solid to By value.
This image shows an example of data driven styling using the Kibana sample web logs data set. The kibana_sample_data_logs layer uses data driven styling for fill color and symbol size style properties.
hour_of_dayproperty determines the fill color for each feature based on where the value fits on a linear scale. Light green circles symbolize documents that occur earlier in the day, and dark green circles symbolize documents that occur later in the day.
bytesproperty determines the size of each symbol based on where the value fits on a linear scale. Smaller circles symbolize documents with smaller payloads, and larger circles symbolize documents with larger payloads.
Quantitative data driven stylingedit
Quantitative data driven styling symbolizes features from a range of numeric property values.
Property values are fit from the domain range to the style range on a linear scale.
For example, let’s symbolize Kibana sample web log documents by size.
The sample web logs
bytes field ranges from 0 to 18,000. This is the domain range.
The smallest feature has a symbol radius of 1, and the largest feature has a symbol radius of 24. This is the style range.
bytes property value for each feature will fit on a linear scale from the range of 0 to 18,000 to the style range of 1 to 24.
To ensure symbols are consistent as you pan, zoom, and filter the map, quantitative data driven styling uses extended_stats aggregation to retrieve statistical metadata. Extended_stats is not available for numeric property values from the metric aggregations count, sum, and unique count.
To configure extended_stats,click the gear icon to configure extended_stats. Set Sigma to a smaller value to minimize outliers by moving the range minimum and maximum closer to the average. Clear the Calculate range from indices checkbox to turn off the extended_stats aggregation request. The gear icon is not available for numeric property values from the metric aggregations count, sum, and unique count.
When extended_stats is not used, symbols might be inconsistent as users pan, zoom, and filter the map. Without extended_stats, the range is calculated with data from the local layer. The range is re-calculated when layer data changes.
When the property value is undefined for a feature:
- Fill color and Border color are set to transparent and are not visible.
- Border width and Symbol size are set to the minimum size.
- Symbol orientation is set to 0.
When the symbol range minimum and maximum are the same and there is no range:
- Fill color and Border color are set to last color in the color ramp.
- Border width and Symbol size are set to the maximum size.
Qualitative data driven stylingedit
Qualitative data driven styling symbolizes non-numeric properties, such as strings and IP addresses, by category.
Qualitative data driven styling is available for the following styling properties:
- Fill color
- Border color
- Label color
- Label border color
Qualitative data driven styling uses a terms aggregation to retrieve the top nine categories for the property. Feature values within the top categories are assigned a unique color. Feature values outside of the top categories are grouped into the Other category. A feature is assigned the Other category when the property value is undefined.
This image shows an example of quantitative data driven styling using the Kibana sample web logs data set.
machine.os.keyword property determines the color of each symbol based on category.
This image shows an example of class styling using the Kibana sample web logs data set.
The Mac OS requests layer applies the filter
machine.os : osxso the layer only contains Mac OS requests. The fill color is a static value of green.
The Window OS requests layer applies the filter
machine.os : win*so the layer only contains Window OS requests. The fill color is a static value of red.