Hex Tiles can be joined to other datasets to enrich them with contextual information.
Enriching datasets with Hex Tiles is achieved through a join operation. Join operations with Hex Tiles are always left or inner joins, with the Hex Tile dataset on the right.
Studio supports joining non-tiled datasets with Hex Tile
1. Add the Hex Tile to the map in Studio.
2. Click ⋮ More Options >> Join on the target (non-tiled) dataset.
3. Select the Hex Tile dataset to join against.
4. Select the column to use for joining on the non-tiled dataset.
The following types of columns can be used for joining with Hex Tiles:
- H3 indexes, if available in your target dataset.
- Latitude and longitude coordinates, which will be indexed to the appropriate H3 cell at the finest resolution supported by the Hex Tiles.
- Time, (required only for temporal Hex Tiles).
5. (Optional) Select the Hex Tile columns to use for enrichment. By default, all columns are included.
6. Click Run to initiate the join operation. You will see a preview of the joined dataset with columns from the Hex Tiles. Press Confirm to add the new joined dataset to your map.
Using the new enriched dataset, you can relate data previously separated between datasets.
The below example shows how to explore the enriched dataset, visualizing areas by the number of trees per individual.
1. Select the joined dataset, then create a new column.
2. Create a formula for the new column, then click Create Column.
In this example, the new
trees_per_individual column is generated with the expression:
Count TreeID /sum_total_population.
3. Configure your layer to visualize the new column.
Watch the video below to learn how to enrich data with Hex Tiles.
Datasets can also be enriched with Hex Tiles using the Data SDK. Refer to the Data SDK reference to learn more about enriching through the SDK.
Updated 24 days ago