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Red River Qld preliminary geology digital data 1:250 000:- Map 250 - Geological

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Created 13/01/2025

Updated 13/01/2025

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These data are a digital representation of information depicted on the printed map of the Red River 1:250 000 Geological Series produced by AGSO and the Geological Survey of Queensland (GSQ) in 1976 (1st edition). Data present include geological polygons (litho-stratigraphic units), linear structural features (faults, dykes, folds, trends, lineaments etc), and point features (mines, structural points etc). Polygons have a range of attributes extracted from each individual map including unit name, age and lithological description, while lines and points are feature coded according to the AGSO publication 'Symbols Used On Geological Maps' (BMR 1989). A standard look-up table of AGSO geological codes and associated descriptions is available (see ADDITIONAL METADATA). The data has gradually evolved from elementary CAD quality data into its present topologically structured GIS format, and hence has many imperfections and inconsistencies. Data has undergone rigorous validation and testing that includes over 80 different tests. See ADDITIONAL METADATA for more information on the data standards used.

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Title Red River Qld preliminary geology digital data 1:250 000:- Map 250 - Geological
Language eng
Licence notspecified
Landing Page https://devweb.dga.links.com.au/data/dataset/1318bab5-bf6f-4a0c-8f91-f1b2c95f7514
Contact Point
Geoscience Australia
clientservices@ga.gov.au
Reference Period 22/04/2018
Geospatial Coverage {"type": "Polygon", "coordinates": [[[142.5, -18.0], [144.0, -18.0], [144.0, -17.0], [142.5, -17.0], [142.5, -18.0]]]}
Data Portal data.gov.au

Data Source

This dataset was originally found on data.gov.au "Red River Qld preliminary geology digital data 1:250 000:- Map 250 - Geological". Please visit the source to access the original metadata of the dataset:
https://devweb.dga.links.com.au/data/dataset/red-river-qld-preliminary-geology-digital-data-1-250-000-map-250-geological

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No duplicate datasets found.