Open spatial analytics (OSA) is about sharing of spatial intelligence. The OSA project – in partnership with RMIT University – enables anyone to create, share, adapt, and remix spatial analytics, using scientific workflows. Scientific workflows model an analytics process as a network of operations connected by data flows. The OSA project is augmenting an existing open-source workflow system (Knime) with cloud-based spatial capabilities. The resulting workflows capture human spatial knowledge as executable documentation.

There are three main benefits of sharing spatial analytics through the OSA platform:

  1. Reduces duplication: Today, many different industries and agencies are generating bespoke software solutions to similar problems, costing time and money. OSA makes it easy to capture the knowledge required to reuse and remix a solution many times.
  2. Increases transparency: OSA makes spatial data processing more transparent, by making executable documentation. Together with open data, this makes analytics more warrantable, giving industry and government certainty about how exactly data was create and decisions were made.
  3. Increases scalability: OSA data and tools live in the cloud, and enable the automated-based architecture ensures OSA workflows can scale up to big data and national-scale spatial data infrastructure.

A copy of the Open Spatial Analytics flyer can be downloaded from here.

Making Sense of Open Spatial Analytics