6 datasets found
  1. m

    Postcodes

    • data.melbourne.vic.gov.au
    • researchdata.edu.au
    • +1more
    csv, excel, geojson +1
    Updated Dec 14, 2022
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    (2022). Postcodes [Dataset]. https://data.melbourne.vic.gov.au/explore/dataset/postcodes/
    Explore at:
    excel, json, csv, geojsonAvailable download formats
    Dataset updated
    Dec 14, 2022
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    This Shapefile defines the boundaries and locations of all postcodes with the City of Melbourne

  2. Australian Bureau of Statistics 2021 Postal Area Boundaries

    • koordinates.com
    csv, dwg, geodatabase +6
    Updated Aug 17, 2023
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    Australian Bureau of Statistics (2023). Australian Bureau of Statistics 2021 Postal Area Boundaries [Dataset]. https://koordinates.com/layer/114003-australian-bureau-of-statistics-2021-postal-area-boundaries/
    Explore at:
    mapinfo mif, csv, geopackage / sqlite, mapinfo tab, pdf, dwg, geodatabase, kml, shapefileAvailable download formats
    Dataset updated
    Aug 17, 2023
    Dataset authored and provided by
    Australian Bureau of Statisticshttp://abs.gov.au/
    License

    https://koordinates.com/license/attribution-4-0-international/https://koordinates.com/license/attribution-4-0-international/

    Area covered
    Description

    Postal Areas (POA)

    Postal Areas (POAs) are designed to approximate postcode boundaries, as closely as possible. There is not a one-for-one correspondence between Australia Post postcodes and POAs, but these are a good starting point for comparison of Census data with other data collected using postcodes.

    Census Postal Areas exclude non-mappable Australia Post postcodes such as:

    • post office box postcodes
    • some delivery route postcodes, which are also covered by other postcodes (a situation which often occurs in rural areas)
    • some postcodes which, because of the application of the 'best fit' principle, do not get a Mesh Block allocated to them.

    Australian Bureau of Statistics (Jul2021-Jun2026), Data services and APIs, ABS Website, accessed 25 July 2023.

    https://www.abs.gov.au/website-privacy-copyright-and-disclaimer#copyright-and-creative-commons

  3. c

    Casey Suburbs with Postcodes

    • data.casey.vic.gov.au
    csv, excel, geojson +1
    Updated Jul 28, 2025
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    (2025). Casey Suburbs with Postcodes [Dataset]. https://data.casey.vic.gov.au/explore/dataset/suburbs-w-postcodes/
    Explore at:
    geojson, excel, csv, jsonAvailable download formats
    Dataset updated
    Jul 28, 2025
    Area covered
    Casey City
    Description

    City of Casey specific locality boundaries derived from the complete Victorian Vicmap Admin provides an accurate representation of various administrative boundaries across the City of Casey, at a capture scale of 1:25,000. It is used in a variety of applications, particularly in emergency services, natural resource management, planning and development, and digital map publications.

  4. r

    City of Melbourne 3D Point Cloud 2018

    • researchdata.edu.au
    • data.melbourne.vic.gov.au
    Updated Mar 7, 2023
    + more versions
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    data.vic.gov.au (2023). City of Melbourne 3D Point Cloud 2018 [Dataset]. https://researchdata.edu.au/city-melbourne-3d-cloud-2018/2296065
    Explore at:
    Dataset updated
    Mar 7, 2023
    Dataset provided by
    data.vic.gov.au
    Area covered
    Melbourne, Melbourne
    Description

    3D point cloud representing all physical features (e.g. buildings, trees and terrain) across City of Melbourne. The data has been encoded into a .las file format containing geospatial coordinates and RGB values for each point. The download is a zip file containing compressed .las files for tiles across the city area.

    The geospatial data has been captured in Map Grid of Australia (MGA) Zone 55 projection and is reflected in the xyz coordinates within each .las file.
    Also included are RGB (Red, Green, Blue) attributes to indicate the colour of each point.

    Capture Information
    - Capture Date: May 2018
    - Capture Pixel Size: 7.5cm ground sample distance
    - Map Projection: MGA Zone 55 (MGA55)
    - Vertical Datum: Australian Height Datum (AHD)
    - Spatial Accuracy (XYZ): Supplied survey control used for control (Madigan Surveying) – 25 cm absolute accuracy

    Limitations:
    Whilst every effort is made to provide the data as accurate as possible, the content may not be free from errors, omissions or defects.

    Sample Data:
    For an interactive sample of the data please see the link below.
    https://cityofmelbourne.maps.arcgis.com/apps/webappviewer3d/index.html?id=b3dc1147ceda46ffb8229117a2dac56d

    Preview:


    Download:

    A zip file containing the .las files representing tiles of point cloud data across City of Melbourne area.

    Download Point Cloud Data (4GB)

  5. Melbourne Google Street View imagery dataset

    • zenodo.org
    zip
    Updated Jan 24, 2020
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    Kerry A. Nice; Kerry A. Nice; Jasper S. Wijnands; Jasper S. Wijnands (2020). Melbourne Google Street View imagery dataset [Dataset]. http://doi.org/10.5281/zenodo.1256252
    Explore at:
    zipAvailable download formats
    Dataset updated
    Jan 24, 2020
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Kerry A. Nice; Kerry A. Nice; Jasper S. Wijnands; Jasper S. Wijnands
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Melbourne
    Description

    The data presented in this article is related to the research article entitled "Urban design using generative adversarial networks: optimising citizen health and wellbeing" (Wijnands et al 2018). The data consists of Google Street View (Google Maps, 2017) imagery (4,473,991 images, 8-bit JPEG at 256x256 resolution) from four headings (0, 90, 180, and 270 degrees) at 1,118,534 locations in the greater metropolitan area of Melbourne, Australia. Locations were determined using the nodes of the vector lines in the PSMA Street Network dataset (PSMA 2018) and data was post-processed by removing indoor images. Please cite this paper if you use the dataset.

    The data is broken up into four archives, 000.zip, 090.zip, 180.zip, and 270.zip, containing the imagery from each compass heading. A csv file (contained in MelbourneStreetViewImagesData.zip) provides a mapping between the filenames, location names, direction, latitude, and longitude.

  6. r

    City of Melbourne 3D Textured Mesh (Photomesh) 2018

    • researchdata.edu.au
    • data.melbourne.vic.gov.au
    • +1more
    Updated Mar 7, 2023
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    data.vic.gov.au (2023). City of Melbourne 3D Textured Mesh (Photomesh) 2018 [Dataset]. https://researchdata.edu.au/city-melbourne-3d-photomesh-2018/2296068
    Explore at:
    Dataset updated
    Mar 7, 2023
    Dataset provided by
    data.vic.gov.au
    Area covered
    Melbourne, Melbourne
    Description

    3D textured mesh (photomesh) representing all physical features (e.g. buildings, trees and terrain) across City of Melbourne. The 3D textured mesh is provided in object file format (.obj) and is accompanied by material (.mtl) and image texture (.jpg) files.

    The data has been split into a series of tiles covering the entire municipality. An index file (Tile_Index.kml) is included to indicate the geo-spatial location of each tile. To position the mesh in its real world location, use the origin coordinates found in the metadata file (metadata.xml).

    The 3D textured mesh is provided in different levels of detail, as indicated in the file name of the .obj filename. The levels of detail vary from L13 (lowest level of detail) to L20 (highest level of detail).

    Capture Information
    - Capture Date: May 2018
    - Capture Pixel Size: 7.5cm ground sample distance
    - Map Projection: MGA Zone 55 (MGA55)
    - Vertical Datum: Australian Height Datum (AHD)
    - Spatial Accuracy (XYZ): Supplied survey control used for control (Madigan Surveying)

    Contents
    The download is a zip file containing compressed:
    - Object files (.obj)
    - Material files (.mtl)
    - Image textures (.jpg)
    - Metadata (.xml)
    - Tile index (.kml)

    Preview Data:
    For an interactive sample of the data please see the link below (WebGL browser required - Google Chrome recommended).
    https://cityofmelbourne.maps.arcgis.com/apps/webappviewer3d/index.html?id=b555219a327b4535a89d8ec6e97780cf

    Usage:
    Through the download an use of this data you agree to the licensing and disclaimer conditions.
    While all due care has been taken to ensure the data of this website is accurate, current and available please note:
    · there may be errors or omission in it
    · there may be occasions where the data is not available and/or the website will be unavailable.
    The City of Melbourne and its employees accept no responsibility for any loss, damage, claim, expense, cost or liability whatsoever (including in contract, tort including negligence, pursuant to statue and otherwise) arising in respect of or in connection with accessing, using or reliance upon the data in this website, or the unavailability of the data or the website.

    Download Photomesh data:

    A zip file containing all relevant files representing the 3D city mesh model.

    Download .ZIP file (9.7GB)

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Share
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Email
Click to copy link
Link copied
Close
Cite
(2022). Postcodes [Dataset]. https://data.melbourne.vic.gov.au/explore/dataset/postcodes/

Postcodes

Explore at:
excel, json, csv, geojsonAvailable download formats
Dataset updated
Dec 14, 2022
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Description

This Shapefile defines the boundaries and locations of all postcodes with the City of Melbourne

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