Data

Fitness Stations

data.gov.au
City of Gold Coast (Owned by)
Viewed: [[ro.stat.viewed]] Cited: [[ro.stat.cited]] Accessed: [[ro.stat.accessed]]
ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=http://data.gov.au/data/dataset/4fbc5195-330a-4b70-81e1-a901a444ed6f&rft.title=Fitness Stations&rft.identifier=fitness-stations&rft.publisher=data.gov.au&rft.description=Fitness Equipment 2015 - An update as at June 2015.Fitness Equipment 2015 - An update as at June 2015.2014 Fitness Equipment - 2014 version of fitness equipment spatial layer.\r\n\r\nPlease note that this data will have a different structure and labelling to the 2013 version by virtue of changes required through City's introduction of a new asset management system.Fitness Station.zip - Zip file containing shapefile components of Fitness Station geo-spatial layer. \r\nFor KML version see KML Facility Layer file on City of Gold Coast profile.Fitness Stations - Preview this Dataset (WMS) - View the data in this dataset online via an online mapFitness Stations Web Feature Service API Link - WFS API Link for use in Desktop GIS toolsFitness Stations GeoJSON - For use in web-based data visualisation of this collectionThe layer refers to a symbol indicating the location of Fitness Stations on public land adjacent to waterways in the Gold Coast area.\r\n\r\nPlease note the City of Gold Coast is not a professional information provider and makes no representations or warranties about the accuracy, reliability, completeness or suitability for any particular purpose of the Data provided here. This Data is not provided with the intent that any person will rely on it for the purpose of making decisions with financial or legal implications. Persons who place such reliance on the Data do so at their own risk.\r\n&rft.creator=City of Gold Coast&rft.date=2026&rft.coverage=153.210307434,-28.1681847714 153.528539442,-28.1681847714 153.528539442,-27.7351777255 153.210307434,-27.7351777255 153.210307434,-28.1681847714&rft.coverage=153.210307434,-28.1681847714 153.528539442,-28.1681847714 153.528539442,-27.7351777255 153.210307434,-27.7351777255 153.210307434,-28.1681847714&rft_rights=Creative Commons Attribution 3.0 Australia http://creativecommons.org/licenses/by/3.0/au/&rft_subject=City of Gold Coast&rft_subject=CoGC&rft_subject=fitness&rft_subject=geospatialinformation&rft_subject=gold coast&rft_subject=public amenities&rft.type=dataset&rft.language=English Access the data

Licence & Rights:

Open Licence view details
CC-BY

Creative Commons Attribution 3.0 Australia
http://creativecommons.org/licenses/by/3.0/au/

Brief description

The layer refers to a symbol indicating the location of Fitness Stations on public land adjacent to waterways in the Gold Coast area.

Please note the City of Gold Coast is not a professional information provider and makes no representations or warranties about the accuracy, reliability, completeness or suitability for any particular purpose of the Data provided here. This Data is not provided with the intent that any person will rely on it for the purpose of making decisions with financial or legal implications. Persons who place such reliance on the Data do so at their own risk.

Full description

Fitness Equipment 2015 - An update as at June 2015.
Fitness Equipment 2015 - An update as at June 2015.
2014 Fitness Equipment - 2014 version of fitness equipment spatial layer.\r\n\r\nPlease note that this data will have a different structure and labelling to the 2013 version by virtue of changes required through City's introduction of a new asset management system.
Fitness Station.zip - Zip file containing shapefile components of Fitness Station geo-spatial layer. \r\nFor KML version see KML Facility Layer file on City of Gold Coast profile.
Fitness Stations - Preview this Dataset (WMS) - View the data in this dataset online via an online map
Fitness Stations Web Feature Service API Link - WFS API Link for use in Desktop GIS tools
Fitness Stations GeoJSON - For use in web-based data visualisation of this collection

This dataset is part of a larger collection

Click to explore relationships graph

153.21031,-28.16818 153.52854,-28.16818 153.52854,-27.73518 153.21031,-27.73518 153.21031,-28.16818

153.369423438,-27.95168124845

153.21031,-28.16818 153.52854,-28.16818 153.52854,-27.73518 153.21031,-27.73518 153.21031,-28.16818

153.369423438,-27.95168124845

Subjects

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Identifiers
ACN 633 798 857