Cambridge Semantics, a provider of graph-driven data integration and analytics software, is adding geospatial analytics to its AnzoGraph DB, combining the power of scalable location analytics with the power of relationships and analytics in a graph database.
“The integration of geospatial analytics within AnzoGraph DB is another example of how Cambridge Semantics continues to push the boundaries of knowledge graph innovation and to show what is possible with graph-based analytics,” said Steve Sarsfield, vice president of product, Cambridge Semantics. “Further, the extensive applications for geospatial analytics will help our partners and corporate innovation teams leverage geospatial for their large-scale, location-based intelligence applications.”
Adding geospatial capabilities to AnzoGraph DB enables users to determine a location and its relationship to borders, regions, zones, or other places – and then help users perform calculations and queries about those locations and their relationships.
The use cases for geospatial analytics are varied and extensive. In the public sector, communities can use it for managing emergency services, mapping, city planning and predicting crime.
In financial services, geospatial is key for assessing risks and determining risk zones. Geospatial is often a key enabler for many other business processes, including IoT projects, tax fee assessment, setting up delivery and sales zones, and optimizing routes. In addition, geospatial analytics can aid a variety of COVID-19 applications, including contact tracing.
Unlike relational databases, the underlying data model of graph databases is based on nodes, their properties, and connecting edges that express relationships to much more effectively represent the world around us.
By including geospatial coordinates and their relationships in a graph, the resulting data models are far more versatile for processing semantics, geometry, topology, as well as harmonizing that information with multiple other sources of unstructured and structured data for analytics.
Features of AnzoGraph DB with geospatial analytics include:
- As a customizable database, AnzoGraph DB uses its own user-defined function capability, or GeoSPARQL to provide over 160 functions to perform geospatial analysis.
- Define Regions—Define polygon points and circles on your map. The regions can be two dimensional or three dimensional.
- Use common shape data files—Define zones with common geospatial files. Use these predefined maps to understand counties, tax zones, flood zones, precincts, and much more. Formats supported: SHP, GeoJSON, KML, WKT, and WKB.
- Understand relationships—Use the geospatial functions to understand if two zones overlap, touch, or are unconnected. Understand whether a point of interest is in a zone or not.
- Convert coordinates—It is often necessary to convert between two or more coordinate systems when working on problems in 3D space. AnzoGraph DB includes the algorithms to convert between Cartesian, Spherical, Cylindrical, and Elliptical coordinate systems.
- AnzoGraph DB conforms to Open Geospatial Consortium (OGC) standards.
For more information about this news, visit www.cambridgesemantics.com.