In partnership with DELWP, we undertook an assessment of the likely impacts of anticipated climate change on the Victorian coastline to inform the prioritisation of the Victorian Coastal Monitoring Program.
The School of Global, Urban and Social Studies (GUSS) within RMIT University recently undertook a pilot project to determine the feasibility of using machine-learning ability to identify occupied ground surface car spaces using aerial photography (NearMap) and satellite imagery from Sentinel-2.
Vector tiles are fast being adopted as the preferred option in viewing and transferring geographic data in desktop GIS and web mapping applications.
Integrating and analysing geographic and environmental data for the entire Victorian coastline to address some of Victoria’s most pressing environmental, economic and resource issues.
When we come to depict any spatial data in GIS, from physical assets and locations to real-world events and trends, there are two differing systems to display data; Raster and Vector representations. Both of these methods present data in their own format, with their own advantages and disadvantages.
The first data from the 2016 Census has just been released so it’s important to take time to understand the different geographies used by Australian Bureau of Statistics (ABS) and what data is being released for each of them.
Spatial Vision and Natural Decisions were engaged by 7 of Victoria’s 10 CMAs to support NRM planning efforts in view of the likely impacts of climate change.
Since late 2015 Spatial Vision has provided the Australian Electoral Commission (AEC) with hardcopy and digital mapping support.