Abstract
The dataset was derived by the Bioregional Assessment Programme from multiple source datasets. The source datasets are identified in the Lineage field in this metadata statement. The processes undertaken to produce this derived dataset are described in the History field in this metadata statement.
This dataset supersedes the previous version (Asset database for the Hunter subregion on 12 February 2015; GUID = dcf8349e-aaed-4d30-80ab-1c8cbad8fe68)
The Asset database is registered to the BA repository as an ESRI personal goedatabase (.mdb - doubling as a MS Access database) that can store, query, and manage non-spatial data while the spatial data is in a separate file geodatabase joined by AID/ElementID.
Under the BA program, a spatial assets database is developed for each defined bioregional assessment project. The spatial elements that underpin the identification of water dependent assets are identified in the first instance by regional NRM organisations (via the WAIT tool) and supplemented with additional elements from national and state/territory government datasets. A report on the WAIT process for the Hunter is included in the zip file as part of this dataset.
Elements are initially included in the preliminary assets database if they are partly or wholly within the subregion's preliminary assessment extent (Materiality Test 1, M1). Elements are then grouped into assets which are evaluated by project teams to determine whether they meet the second Materiality Test (M2). Assets meeting both Materiality Tests comprise the water dependent asset list. Descriptions of the assets identified in the Hunter subregion are found in the "AssetList" table of the database.
Assets are the spatial features used by project teams to model scenarios under the BA program. Detailed attribution does not exist at the asset level. Asset attribution includes only the core set of BA-derived attributes reflecting the BA classification hierarchy, as described in Appendix A of " HUN_asset_database_doc_20150616.doc", located in this file.
The "Element_to_Asset" table contains the relationships and identifies the elements that were grouped to create each asset.
Detailed information describing the database structure and content can be found in the document " HUN_asset_database_doc_20150616.doc" located in this file.
Some of the source data used in the compilation of this dataset is restricted.
Dataset History
VersionID Date_ Notes
1 29/08/2014 Initial database.
1.1 16/09/2014 Update the classification for seven identical assets from Gloucester subregion
1.2 28/01/2015 Added in NSW GDEs from Hunter - Central Rivers GDE mapping from NSW DPI (50 635 polygons).
1.3 12/02/2015 New AIDs assiged to NSW GDE assets (Existing AID + 20000) to avoid duplication of AIDs assigned in other databases.
1.4 16/06/2015:
(1) Add 20 additional datasets required by HUN assessment project team after HUN community workshop
(2) Turn off previous GW point assets (AIDs from 7717-7810 inclusive)
(3) Turn off new GW point asset (AID: 0)
(4) Assets (AIDs: 8023-8026) are duplicated to 4 assets (AID: 4747,4745,4744,4743 respectively) in NAM subregion . Their AID, Asset Name, Group, SubGroup, Depth, Source, ListDate and Geometry are using values from that NAM assets.
(5) Asset (AID 8595) is duplicated to 1 asset ( AID 57) in GLO subregion . Its AID, Asset Name, Group, SubGroup, Depth, Source, ListDate and Geometry are using values from that GLO assets.
(6) 39 assets (AID from 2969 to 5040) are from NAM Asset database and their attributes were updated to use the latest attributes from NAM asset database
(7)The databases, especially spatial database, were changed such as duplicated attributes fields in spatial data were removed and only ID field is kept. The user needs to join the Table Assetlist or Elementlist to the spatial data"
Dataset Citation
Bioregional Assessment Programme (2015) Asset database for the Hunter subregion on 16 June 2015. Bioregional Assessment Derived Dataset. Viewed 13 March 2019, http://data.bioregionalassessments.gov.au/dataset/24f007de-94e1-4a50-b8e8-46d5cceb5c66.
Dataset Ancestors
JSON
RDF
ISO19115/ISO19139 XML