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2 Rapid Spatial Analytics

These research projects focus on improving the government and industry's ability to rapidly use spatial information on mobile and cloud infrastructure.

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Developing a series of activities across Rapid Spatial Analytics

The current world and the economy's within have rapidly embraced contemporary cloud-based real world business drivers. It is this theme of “rapid” that captures the essence of new business both in the government and private sectors.

Big data, location and movement, and the visualisation of new and historical information curated in a rapid form is the foundation of the collaborative research program Rapid Spatial Analytics.

The ability to analysis and make sense of the rapid information in a manner that is fit for purpose will be the success of this research program.

Initially, four pieces of research are being conducted over a two-year period. These are:

  • Developing a standard automation process for assessing data quality from mobile LiDAR and imagery
  • Cloud-based queries, analysis and visualisation of the current and historical environmental reporting 
  • Building a highly interactive geo-visualisation toolkit for accessing automated land valuation models to incorporate complex land value uplift 
  • Sharing open, cloud-based geospatial workflows (the science behind the creation of datasets) to allow users to have confidence in the data.

Background

In July 2015, the RSA Program hosted a workshop with 18 participants representing 43pl members, essential partners and the CRCSI. The RSA Program discussion revolved around five carefully selected themes: Spatial Workflows, Real-Time Spatial Analytics, Big Spatial Analytics, Foundational Spatial Analytics and Visualisation and Decision-Making (as shown below).

RSA themes

The diagram depicts how “Spatial Workflows” serves an overlay to cover and enable the remaining themes, whereas “Visualisation and Decision-Making” is a common output for data communication and representation for all themes. The term “Rapid” is present in each and every theme, but what does rapid mean then? Here the concept has different meanings for each area of application. Rapid can be “near real-time provision of outputs” (Real-Time Spatial Analytics), it is also means “efficient processing” (Big Spatial Analytics) and is “fast access and integration of data” (Foundational Spatial Analytics).

A copy of the report, including details of the workshop, participants and themes can be downloaded here.

Project Partners

Partners in this research program are: Victorian Department of Environment, Land, Water and Planning, Victorian Office of the Commissioner for Environmental Sustainability, NSW Land and Property Information, Queensland Department of Transport and Main Roads, VPAC Innovations, University of NSW, Queensland University of Technology, and RMIT.

contact

Nathan Quadros 2013 compressedDr Nathan Quadros
Program Manager

2.17 QA4 Mobile

Transport and road agencies around Australia recognise the significant role mobile LiDAR and imagery can play.

2.21 State of Environment

The Victorian Government, through its Department of Environment, Land, Water and Planning (DELWP), intends to develop a digital reporting system (DRS) to support major reform of the Victorian State of Environment (SOE) reporting process.

2.22 RAISE

In collaboration with the University of NSW, this project focuses on building a highly interactive geo-visualisation toolkit for accessing automated land valuation models through to more complex land value uplift models. This will enable land valuers, city...

2.23 Open Spatial Analytics

Open, cloud-based geospatial workflows