If we want to monitor our environment, be it crowding, fires, floods, air quality or traffic, we need reliable information on where and when things are happening. New sensor technologies make knowing what is happening as well as where it is happening much easier to monitor. But pulling this data together to inform and execute actions in real time is more difficult. Our Rapid Spatial Analytics program will turn these rich data sets, and the location information linking them, into useable knowledge and actionable decisions. We are already discovering ways to connect and integrate data sets, making it easier to generate meaningful information, collaborate and inform decision-making.
Some of the questions we are answering include: How can we monitor crowding at train stations or on city streets during emergencies? How can information be used proactively to improve business outcomes? How can we fly drones over forests to return real-time tree counts, biomass estimates and invasive species information?
- Create methods to connect and integrate data sets from multiple sources and automate these processes.
- Build an open library of non-technical workflows for spatial analytics processes to be created, shared, re-used and adapted.
- Coordinate the development of a National Spatial Analytics Capability.
- Build systems able to analyse data streams as they are collected.
- Support Industry 4.0 through data integration and automation.