Data

Predicted seabed gravel content in the north-northwest region of the Australian continental EEZ 2013

Geoscience Australia
Li, J.
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=https://pid.geoscience.gov.au/dataset/ga/76997&rft.title=Predicted seabed gravel content in the north-northwest region of the Australian continental EEZ 2013&rft.identifier=https://pid.geoscience.gov.au/dataset/ga/76997&rft.publisher=Geoscience Australia&rft.description=This dataset provides the spatially continuous data of predicted seabed gravel content (sediment fraction greater than 2000 µm) expressed as a weight percentage ranging from 0 to 100%, presented in 0.0025 decimal degree (dd) resolution raster grids format and ascii text file. The dataset covers the north-northwest region of the Australian continental EEZ. This dataset supersedes previous predictions of seabed gravel content for the region with demonstrated improvements in accuracy. Accuracy of predictions varies based on density of underlying data and level of seabed complexity. Artefacts occur in this dataset as a result of insufficient samples in relevant areas. This dataset is intended for use at regional scale. The dataset may not be appropriate for use at local scales in areas where sample density is insufficient to detect local variation in sediment properties. To obtain the most accurate interpretation of sediment distribution in these areas, it is recommended that additional samples be collected and interpolations updated.Maintenance and Update Frequency: notPlannedStatement: Sediment samples were exported from Geoscience Australia's Marine Sediments database (MARS), an Oracle database developed by Geoscience Australia in line with ANZLIC data standards. A subset of this data was selected for use in predicting spatial distribution of gravel content based on a set of data quality control criteria (see Li et al. 2010 and 2012). Predicting the spatial distribution of gravel content at a 0.0025 decimal degree resolution was undertaken using a combined method of random forest and ordinary kriging (see Li et al. 2010, 2011a and 2012). The spatial interpolation method used was experimentally selected from over 40 methods/sub-methods based on assessment of predictive errors (Li et al. 2010, 2011a and 2012) and was refined for gravel content based on further experimental testing during Nov 2012 to March 2013. The predictions in raster grids and ascii text file were generated in R. Final file is in WGS 84 coordinate system with a 0.0025 dd spatial resolution.&rft.creator=Li, J. &rft.date=2013&rft.coverage=westlimit=112.92; southlimit=-25.53; eastlimit=142.15; northlimit=-8.88&rft.coverage=westlimit=112.92; southlimit=-25.53; eastlimit=142.15; northlimit=-8.88&rft_rights=&rft_rights=Creative Commons Attribution 4.0 International Licence&rft_rights=CC-BY&rft_rights=4.0&rft_rights=http://creativecommons.org/licenses/&rft_rights=WWW:LINK-1.0-http--link&rft_rights=Australian Government Security ClassificationSystem&rft_rights=https://www.protectivesecurity.gov.au/Pages/default.aspx&rft_rights=WWW:LINK-1.0-http--link&rft_rights=Creative Commons Attribution 4.0 International Licence http://creativecommons.org/licenses/by/4.0&rft_subject=oceans&rft_subject=Marine Data&rft_subject=sedimentology&rft_subject=seabed&rft_subject=NERP Marine Biodiversity Hub&rft_subject=marine&rft_subject=Marine Geoscience&rft_subject=EARTH SCIENCES&rft_subject=GEOLOGY&rft_subject=Published_External&rft.type=dataset&rft.language=English Access the data
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CC-BY

Creative Commons Attribution 4.0 International Licence
http://creativecommons.org/licenses/by/4.0

Creative Commons Attribution 4.0 International Licence

CC-BY

4.0

http://creativecommons.org/licenses/

WWW:LINK-1.0-http--link

Australian Government Security ClassificationSystem

https://www.protectivesecurity.gov.au/Pages/default.aspx

WWW:LINK-1.0-http--link

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Brief description

This dataset provides the spatially continuous data of predicted seabed gravel content (sediment fraction greater than 2000 µm) expressed as a weight percentage ranging from 0 to 100%, presented in 0.0025 decimal degree (dd) resolution raster grids format and ascii text file. The dataset covers the north-northwest region of the Australian continental EEZ. This dataset supersedes previous predictions of seabed gravel content for the region with demonstrated improvements in accuracy. Accuracy of predictions varies based on density of underlying data and level of seabed complexity. Artefacts occur in this dataset as a result of insufficient samples in relevant areas. This dataset is intended for use at regional scale. The dataset may not be appropriate for use at local scales in areas where sample density is insufficient to detect local variation in sediment properties. To obtain the most accurate interpretation of sediment distribution in these areas, it is recommended that additional samples be collected and interpolations updated.

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Maintenance and Update Frequency: notPlanned
Statement: Sediment samples were exported from Geoscience Australia's Marine Sediments database (MARS), an Oracle database developed by Geoscience Australia in line with ANZLIC data standards. A subset of this data was selected for use in predicting spatial distribution of gravel content based on a set of data quality control criteria (see Li et al. 2010 and 2012). Predicting the spatial distribution of gravel content at a 0.0025 decimal degree resolution was undertaken using a combined method of random forest and ordinary kriging (see Li et al. 2010, 2011a and 2012). The spatial interpolation method used was experimentally selected from over 40 methods/sub-methods based on assessment of predictive errors (Li et al. 2010, 2011a and 2012) and was refined for gravel content based on further experimental testing during Nov 2012 to March 2013. The predictions in raster grids and ascii text file were generated in R. Final file is in WGS 84 coordinate system with a 0.0025 dd spatial resolution.

Issued: 2013

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142.15,-8.88 142.15,-25.53 112.92,-25.53 112.92,-8.88 142.15,-8.88

127.535,-17.205

text: westlimit=112.92; southlimit=-25.53; eastlimit=142.15; northlimit=-8.88

Subjects
Earth Sciences | Geology | Marine Data | Marine Geoscience | NERP Marine Biodiversity Hub | Published_External | marine | oceans | seabed | sedimentology |

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uri : https://d28rz98at9flks.cloudfront.net/76997/76997_gravel.zip

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