Oceanicsdotio

Geospatial graph API

July 13, 2019


Excited to announce that we’ve been accepted into the Neo4j start-up program.

This means we’ll be able to continue develop graph-based algorithms and data systems with awesome enterprise features like high-availability distributed databases with causal clustering.

The geospatial graph extension of Bathysphere is our core system for analyzing highly-connected heterogeneous data.

Open Geospatial Consortium SensorThings API compliant data are stored in a graph database. This shows the Neo4j browser.

Neo4j Browser

You can check out the OpenAPI specification for the Graph API here.

Entities

The default data models and relationships allow rich context-based displays and analyses, with support for multidimensional array data (such as 3D simulation meshes or satellite data) as well as time series. This UI is our free-form entity browser, which uses Mapbox and WebGL.

The service combines SpatioTemporal Assets Catalog (STAC) and Open Geospatial Consortium (OGC) SensorThings API specifications to provide domain-specific topologies for sensor networks, scientific meshes, control systems, and user authentication/permissioning.

The graph metadata also registers analytical services that process data assets. For example, converting raw satellite brightness temperatures to sea-surface temperature, or using fast Fourier transforms to filter signals.

Data transformations are represented as Tasking Capabilities, per SensorThings API part 2. We depart from official OGC web standards a bit here. All database models have capabilities, steps of which may require services spread across different compute locations.

Capabilties

Signal processing capabilities for a temperature stream include conversion to frequency domain, frequency filtering, smoothing, resampling, et cetera. The time series is stored in the graph as a reference to a Postgres table-column combination, CSV text file, or JSON-like serialized binary.

Functions-as-a-service and connected microservices are mapped to capabilities, which are linked to instances of the data models.