Software

Please note, we are unable to test against all OS and Host Application updates. The standard version of sDNA is free so the best way to check compatibility is to download and try for yourself.

sDNA Software allows you to:

1. Measure your spatial networks in 2D and 3D.
2. Run quick yet effective transport models for cars, pedestrians, cyclists and public transport users.

Currently, we support the following software:

• ArcGIS 10.1+
• QGIS 2.13+
• Rhino/Grasshopper

Additionally, sDNA can be scripted from the command line, and developers can take advantage of our Python API for any purpose – including experiments in parametric design.

 

Download sDNA

Requirements

To use our software, you will need:

• OS: Microsoft Windows XP, 7, 8 or 10
• One of the host applications:
  • QGIS 2.8 onwards,
  • ArcGIS 10.x – Network Analyst extension is NOT required
  • ArcGIS Pro
  • Rhino/Grasshopper
• Suggested minimum hardware of:
  • 1 Gigabyte of RAM, more preferred for large networks
  • any modern CPU can run sDNA

Benefits

Industry-standard data compatibility

Use off-the-shelf Ordnance Survey data and a variety of other spatial formats with a minimum of preparation.

Universal network analysis standard

sDNA uses the network link (the fundamental “atom” from which all networks are constructed) as the base unit of analysis, ensuring compatibility with common data standards. Alternatively, links may be subdivided into polylines.

Complex foundations, quick and simple to use

Use angular analysis as a proxy for human perception of route cost.  (Metric and custom analyses available too).

Continuous space and geometry

Treat network links as continuous, rather than discrete entities to ensure accuracy.

Multi-scale

Customise the locality of analysis, measure accessibility on a range of different scales, or flows for a range of different trip lengths.

Customisable

Use custom link weighting and costing, or zonal weighting if you want – although our research shows this is often not necessary.

Accuracy

The calculation engine is one of sDNA’s greatest strengths, tested against datasets from the literature it achieves equal or better results in all cases.  Every build is also regression tested against a suite of hand-computed networks.

Speed

sDNA supports multi-core CPUs.

Measures computed

Accessibility within radius (2D and 3D) Closeness (compatible with existing literature) Improved accessibility measures Network gravity model Flows/Betweenness for radius (2D and 3D, single and bi-directional) Network density within radius (2D and 3D) Link count Junction count Total connectivity Total length Total angular cost Total weight Severance (2D and 3D) Total/mean geodesic length Total crow flight distance Mean geodesic diversion ratio Efficiency (2D only) Convex hull area Convex hull perimeter Convex hull maximum radius Bearing of maximum radius Hull shape index Two phase (generation/assignment) model (2D and 3D) Two phase betweenness Two phase destination weight Geometric outputs Geodesics Destination maps Network Radii Convex Hulls Flow Bundles Skim Matrix output