H3 Geohashing - Kinetica Docs

Enrich a Point-Based Table with H3 Indexes

Create an H3 index for pickup locations in the NYC taxi data set.

CREATE OR REPLACE TABLE example_geospatial.nyctaxi_h3 AS
(
	SELECT
		pickup_latitude,
		pickup_longitude,
		H3_XYTOCELL(pickup_longitude, pickup_latitude, 8) AS h3_index
	FROM example_geospatial.nyctaxi_xy
)

CREATE OR REPLACE TABLE example_geospatial.nyctaxi_h3 AS
(
	SELECT
		pickup_location,
		H3_GEOMTOCELL(pickup_location, 8) AS h3_index
	FROM example_geospatial.nyctaxi_wkt
)

Create an Aggregated View with WKT Geometries

Use the table created above to generate an H3 grid view with the counts of pickups within each cell.

Aggregated Pick-Up Counts per H3 Cell

SELECT
	h3_index,
	H3_CELLTOBOUNDARY(h3_index) AS h3_cell,
	COUNT(*) AS total_pickups
FROM example_geospatial.nyctaxi_h3
GROUP BY h3_index

The H3 grid output as a class break render:

​Enrich a Point-Based Table with H3 Indexes

​Create an Aggregated View with WKT Geometries

Enrich a Point-Based Table with H3 Indexes

Create an Aggregated View with WKT Geometries