Case Study: Land Use Analysis and Implementation Support

Spatial Vision developed a contemporary, authoritative government land use dataset to assist government in improved analysis and insight into land use. The solution supports future decision-making with precise, reliable and comprehensive evidence.

Case Study: Hoddle Grid Heritage Review

The City of Melbourne (CoM) engaged Spatial Vision alongside three heritage consultancies (Context, Ochre Imprints, On Country Heritage and Consulting) to provide a comprehensive review of heritage buildings in the Hoddle Grid. Through thematic and spatial analysis, the CoM gained a richer and more nuanced understanding of the cultural heritage that exists throughout the urban landscape of the central city.

Python Whitebox Tools Demo

When talking about 3D data we often think about high end fancy visualizations that give that wow factor where you can barely tell the difference between what is real and what is digital. In the spatial sciences industry we are not normally concerned with the Ultra High Definition graphics, Ray Tracing, and photorealistic texturing; normally we settle for much less because we only need the basics for analysis…

Improving Accessibility of Protected Area Information

The tool aims to assist stakeholders in determining the location of Matters of National and Environmental Significance (MNES), or if other matters protected by the Environment Protection and Biodiversity Conservation Act 1999 are likely to occur in a particular area. Furthermore, the PMST tool is essential to implementing a targeted risk-based approach to compliance and enforcement with the Act.

Monitoring the Metropolitan Development Boom

The area around the Box Hill Railway station has been a major development hub since the early 2000s. While most residents and visitors to the area cannot but help notice that there is a construction boom, data from DELWP’s Housing Development Data project helps to put this in context.

Monitoring Housing Stock

The Housing Development Data (HDD) project was concerned with the development of datasets that document housing development across 32 Local Government Areas (LGAs) in the Melbourne Metropolitan area.