Abstract
The dataset was derived by the Bioregional Assessment Programme. The parent datasets are identified in the Lineage field in this metadata statement. The processes undertaken to produce this derived datatset are described in the History field in this metadata statement.
[x[THIS DATASET WAS FOUND TO CONTAIN ERRORS - DO NOT USE
Superseded by "Asset database for the Gippsland Basin bioregion on 10 September 2015, GUID: f67fbe66-2e36-4444-8575-2b0370ad7398]x]
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.
The Gippsland database V2 supersedes the previous version (Asset database for the Gippsland basin bioregion on 16 June 2015 GUID = 178b98b7-3107-4cbf-b7ea-fc648c6f5870) of the Asset database. This dataset contains v2 of the Asset database (GIP_asset_database_20150910.mdb), a Geodatabase version for GIS mapping purposes (GIP_asset_database_20150910_GISOnly.gdb), the Water Dependent Asset Register spreadsheet (BA-GIP-ALL-130-WaterDependentAssetRegister-AssetList-V20150910.xlsx), a data dictionary (GIP_asset_database_doc_20150910.doc), and a folder (NRM_DOC) containing documentation associated with the WAIT process as outlined below.
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. All reports received associated with the WAIT process for Gippsland are 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 Gippsland subregion are found in the "AssetList" table of the database. In this version of the database both M1 and M3 have been assessed. 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 "GIP_asset_database_doc_20150910.doc", located in the zip file as part of this dataset.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 " GIP_asset_database_doc_20150910.doc" located in the zip file.Some of the source data used in the compilation of this dataset is restricted.
Purpose
The Asset List Database was developed to identify water dependent assets located within the Gippsland Basin bioregion.
Dataset History
VersionID Date_ Notes
1 9/12/2014 Initial database.
1.2 30/01/2015
Database updated with elements and assets derived from additional source datasets: Economic_SW; VICADV_VulnFauna and Flora; Plantation Forests; Irrigation Districts; Inundation 100 year flood extent; Landscape Priority Areas (West); Farm Dam boundaries.
1.3 12/02/2015 AIDs updated for new assets (existing AID + 20000) to avoid duplication of AIDs used in databases for other subregions.
1.4 9/06/2015
(1) Previous groundwater, surface water, GMA and WSPA assets (sources: VIC_DEPI_ECON_GW, Vic_Surfacewater Licences Economic Asset Data, ECON_GW_VIC_GMA and ECON_GW_VIC_WSPA respectively) were turned off (i.e. the field of InRegister in table AssetList has a value No). Theirs AIDs are from 16696 to 16706, 12006 to 12015 and 46598 to 46759.
(2) New groundwater, surface water, GMA and WSPA assets (sources: VIC_DEPI_ECON_GW_May2015, VIC_DEPI_ECON_SW_May2015, VIC_ECON_GW_GMA and VIC_ECON_WSPA) were added in
(3) New surface water polygon SDL data, which was also used to group surface water elements to assets, was added in. The new AIDs for (2) and (3) are from 46894 to 479081 inclusive
(4)One previous asset (AID: 12729) is duplicated to one asset in MBC (AID: 11636) . its AID, Asset Name, Group, SubGroup, Depth, Source, ListDate and Geometry is using values from that MBC asset.
(5) The name of one asset (AID: 15546) was changed because its previous name may be not for publication
(6) The databases, especially spatial database, were changed such as duplicated attributes fields in spatial data were removed and only ID field is kept."
1.5
(1) Change title to Asset database for the Gippsland Basin bioregion on 16 June 2015 from subregion to bioregion
(2) Update new AIDs (from 46894 to 47081 inclusive) on09/06/2015 to new AIDs (66894 to 67081inclusive): new [AID]=Previous [AID]+20000"
v2 10/9/2015
(1) The explanations for M2 decisions have been updated based on advice from the project team. Detailed explanations were updated into the DecisionReason field of the AssetDecisions table, and the brief reason into the assetList and assetDecisions tables.
(3) The draft BA-GIP-ALL-130-WaterDependentAssetRegister-AssetList-V20150910.xlsx has been created as an output of this database.
(4) Four standard queries have been included in the database to ensure consistency in obtaining asset and element counts and groupings for reporting.
(5) Areas and lengths updated for assetList and ElementList tables polygons and polylines, where values were found to be null.
Dataset Citation
Bioregional Assessment Programme (2015) Asset database for the Gippsland Basin bioregion on 10 September 2015. Bioregional Assessment Derived Dataset. Viewed 07 February 2017, http://data.bioregionalassessments.gov.au/dataset/45261e4b-fbd9-4853-bb16-2bf8c47bf018.
Dataset Ancestors
JSON
RDF
ISO19115/ISO19139 XML