Space Graph

A new data model for interior spaces

Space Graph is an innovative, graph-based data model designed specifically for representing and managing interior spaces of buildings. It aims to simplify the process of editing and querying building data while providing a powerful engine that seamlessly converts queryable data into geometry and vice versa.

Space Graph takes the pain out of managing building data by offering a lightweight, web-first representation that is easy to integrate and extend.

The core components are:

• A spatial graph which forms the basis for robust editing and advanced querying.
• Flexible and extendible elements.
• A powerful geometry pipeline that simplifies 2D and 3D visualization, and exports like DXF, GeoJSON, SVG, IFC or GLTF.

Spatial structure

Building

A collection of floors. Buildings are supported by the data format but not yet exposed via API and apps.

Floor

Horizontal section of a building. Contains one or many layouts.
The floor is the main resource for integrations.

Layout

The main entity that describes the actual layout. A floor can have one or many layouts but only one default layout.
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Layout nodes

The layout contains the spatial graph, spaces, elements, annotations and views

Spatial graph

Collection of vertices and edges that describe the layout typology. A space is defined by a loop of edges. A wall is defined by a single edge. The spatial graph therefore determines adjacency and connectivity of spaces.
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Spaces

Describes the physically enclosed volume inside walls or a subsets of it.
Defined by boundaries of edges, references boundary elements.
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Elements

Elements are layout nodes that you can see and touch. Edge elements are defined by an edge. Boundary elements by a loop of edges and transform elements by position and rotation.
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Shared resources

Products

Products define geometry and metadata that can be referenced by one ore many asset elements.
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Geometries

Geometries can be shared by multiple elements or products.
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