Location Intelligence on Kinetica Docs

Geospatial Examples

Mon, 01 Jan 0001 00:00:00 +0000

The following are complete examples for utilizing geospatial data, geospatial functions, and the Kinetica Web Mapping Service (WMS). Using WKT Data and Geospatial Functions Example of ingesting WKT data and using geospatial functions via SQL and the Kinetica Python API Generate Isochrones Example of generating images containing isochrones using an existing graph and the /visualize/isochrone and /wms endpoints Geospatial Partitioning Example of partitioning geospatial data to improve the performance of locality-based geospatial lookups

Geospatial Objects

Mon, 01 Jan 0001 00:00:00 +0000

Points A point can be any record that has fields containing the longitude and latitude of a geospatial point. Shapes Kinetica supports the following WKT types: Point, LineString, Polygon, MultiPoint, MultiLineString, MultiPolygon, and GeometryCollection. WKT shapes can include a z-level value ranging from -128 to +128 but rendering points on the z-axis (e.g., via Web Map Service or Workbench as either a Table/View WMS Preview or a Worksheet Map Block) is currently not supported.

Geospatial/Geometry Functions

Mon, 01 Jan 0001 00:00:00 +0000

Enhanced Performance Scalar Functions Scalar Functions Aggregation Functions Track Functions ST_TRACK_DWITHIN ST_TRACKINTERSECTS H3 Functions Five types of geospatial functions are available in Kinetica: Scalar Functions - apply a geospatial function at the record level to WKT or X/Y data Enhanced Performance Scalar Functions - apply performance-optimized geospatial functions to X/Y data Aggregate Functions - apply a geospatial function across groups of records to WKT or X/Y data Track Functions - apply scalar & aggregate functions to track-based data H3 Functions - apply H3 gridding functions to WKT or X/Y data Tip