Aerial image (true ortho) mosaic of the City of Melbourne municipal area. The true ortho image has been corrected to provide a true ‘top down’ view of the city, removing building lean and other interference typically found in oblique aerial imagery.
The aerial image was captured May 2018 and is available for download in georeferenced (JPEG2000) and formats (JPEG).
- Capture Date: May 2018
- Capture Pixel Size: 7.5cm ground sample distance
- Map Projection: MGA Zone 55 (MGA55)
- Spatial Accuracy (XYZ) Supplied survey control used for control (Madigan Surveying) – 25 cm absolute accuracy
Whilst every effort is made to provide the data as accurate as possible, the content may not be free from errors, omissions or defects.
This dataset contains observed bike counts from sites across the city. These counts are often referred to "Super Tuesday" and is Australia’s biggest annual commuter bike count. The count also contains information for gender, and movement flow of people on bikes.
There is a large number of fields captured for this dataset, which has been compiled into an attached metadata document.
Data collected as part of the City of Melbourne's Census of Land Use and Employment (CLUE). It show business establishments with their trading name, bar/tavern/pub patron capacity, location and CLUE block and small area designation.
Data collected as part of the City of Melbourne's Census of Land Use and Employment (CLUE). The data covers the period 2002-2017. It show business establishments with their trading name, bar/tavern/pub patron capacity, location and CLUE block and small area designation.
Bat Records in Fitzroy Gardens and Royal Botanic Gardens 2010. Collected by Fiona Caryl (field surveys from PhD research) in April 2010 by acoustic recording devices - then species were identified from their calls. All species are microbats. Some records are only classified down to genus level. All records have coordinates.
This dataset contains a simplified network representation of bike paths across City of Melbourne.
The dataset can be used to create a digital bicycle network with route modelling capabilities that integrated existing bicycle infrastructure. The network has been created to be used with ArcGIS network analyst. The resulting network was connected to the City of Melbourne property layer through centroids created for this project:
The network can assist in multiple modelling tasks including catchment analysis and route analysis. The download is a zip file containing compressed .json files
Please see the metadata attached for further information.
Melbourne Bike Share is a joint RACV/Victorian Government bicycle hire scheme. It allows commuters to hire a bike from a dock location and return it to another dock location in the city. This dataset contains the bike share dock locations and capacity across the city.