City of Melbourne CLUE Building Information (Point) 2016

Dataset extent

Description

This dataset was collected as part of the City of Melbourne's Census of Land Use and Employment (CLUE). The data shows selected building attributes including location, construction year, refurbished year, number of floors above ground, predominant space use, bicycle/shower facilities and building accessibility. Building accessibility data is collected to track accessibility for internal City of Melbourne purposes. This data is provided as a community service by the City of Melbourne. It is not and does not purport to be a complete guide. There may be errors or omissions. The data covers the year period of 2016.

For more information please visit the City of Melbourne CLUE Portal.

Please note:

  • AURIN has acquired the data through the City of Melbourne Open Data Portal.

  • The individual yearly tables have been extracted from the archived 2002-2017 tables.

  • The data in this table is a snapshot and not live.

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Field Value
Source https://adp.aurin.org.au/geoserver/wfs
Last Updated June 28, 2023, 09:24 (UTC)
Created June 28, 2023, 09:24 (UTC)
ADP ID datasource-VIC_LGovt_COM-UoM_AURIN_DB:com_clue_building_information_2016
Access Level Open Access
Aggregation Level NA
Attribute List Accessibility Rating, Accessibility Type, Accessibility Type Description, Base Property Identifier, Bicycle Spaces, Block Identifier, Building Highest Floor, Building Name, Census Year, Construction Year, Geometry, Has Showers, Location Address, Location City, Location Postal Code, Location State, Predominant Space Use, Property Identifier, Refurbished Year, Street Address, Suburb, Unique IDentifier, X Coordinate, Y Coordinate
Attribution Local Government of Victoria - City of Melbourne, (2018): City of Melbourne CLUE Building Information (Point) 2016; accessed from AURIN on [date of access].
Coordinate Ref. System EPSG:4283 (GDA_1994)
Copyright Notice © Local Government of Victoria - City of Melbourne 2018
Geometry Field wkb_geometry
Key ogc_fid
Type dataset
spatial {"type": "Polygon", "coordinates": [[[144.89, -37.85], [145.0, -37.85], [145.0, -37.77], [144.89, -37.77], [144.89, -37.85]]]}