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 contains v8.1 of the Asset database (GLO_asset_database_20151029.mdb), a Geodatabase version for GIS mapping purposes (GLO_asset_database_20151029_GISOnly.gdb), the draft Receptor Register spreadsheet (BA-NSB-GLO-140-ReceptorRegister-v20151029.xlsx), a data dictionary (GLO_asset_database_doc_20151029.doc and a folder (NRM_DOC) containing documentation associated with the Water Asset Information Tool (WAIT) process as outlined below.
The Gloucester Asset database v8.1 supersedes the previous version of the GLO Asset database in Receptor relevant tables/ feature class only (i.e. ReceptorList, tbl_Receptors_GDE, tbl_Receptors_GW, tbl_Receptors_SW, tbl_Receptors_SW_Catchment_Ref_Only and GM_GLO_ReceptorList_pt). The location of Receptor is from GDA 94 datum.
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 separated file geodatabase joined by AID/Element ID/BARID. 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 Gloucester 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 Gloucester subregion are found in the "AssetList" table of the database. In this version of the database only M1 has 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 "GLO_asset_database_doc_20151029.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 "GLO_asset_database_doc_20151029.doc" located in the zip file. Some of the source data used in the compilation of this dataset is restricted.
Used for Gloucester subregion for bioregional assessments
VersionID Date Notes
1.0 17/03/2014 Initial database
1.01 19/03/2014 Update classification using latest one
2.0 23/05/2014 Update asset area for some assets
3.0 9/07/2014 updated to include new assets and elements identified by community.
4.0 29/08/2014 updated assets and elements from WSP
5.0 4/09/2014 Table AssetDecisions is added to record decision making process and decisions about M2 are also added in table asset list
6.0 8/04/2015 195/9 Groundwater economic point elements/assets were added in while 81/7 Groundwater economic point elements/assets were turned off
7.0 27/05/2015 The receptor data ( tables: ReceptorList, tbl_Receptors_GDE, tbl_Receptors_GW, tbl_Receptors_SW and tbl_Receptors_SW_Catchment_Ref_Only; and spatial data: GM_GLO_ReceptorList_pt) is added
7.1 21/08/2015 "(1) Delete (a) line 26 from tab "Description" and (b) column E from tab "Receptor register" about "Depth" parameters in BA-NSB-GLO-140-ReceptorRegister-v20150821.xlsx
(2) Delete field of "Depth" from table "ReceptorList" in GLO_asset_database_20150821.mdb (3) Add two fields of "InRegister" and "Registered Date" to table "ReceptorList" in GLO_asset_database_20150821.mdb for the consistency with other subregions in the future"
8 16/09/2015 "(1) (a) Update Latitude, Longitude, LandscapeClass using the latest data from GLO project team and update the values for RegisteredDate, and Group using "GDE", "SW" and "GW" in table ReceptorList in GLO_asset_database_20150916.mdb; (b) Create draft BA-NSB-GLO-140-ReceptorRegister-v20150916.xlsx
(2) Update tbl_Receptors_GDE, tbl_Receptors_GW and tbl_Receptors_SW in GLO_asset_database_20150916.mdb, using the latest data from GLO project team. (3) Update GM_GLO_ReceptorList_pt in GLO_asset_database_20150916_GISOnly.gdb, using the latest data from GLO project team"
VersionID Date Notes
9 29/10/2015 (a) Update LandscapeClass field in table ReceptorList for all 222 economic Receptors to match the latest decision about this parameter (b) Create draft BA-NSB-GLO-140-ReceptorRegister-v20151029.xlsx
The source metadata was updated to meet the purpose of the Bioregional Assessment Programme
Bioregional Assessment Programme (2014) Asset database for the Gloucester subregion on 29 October 2015. Bioregional Assessment Derived Dataset. Viewed 18 July 2018, http://data.bioregionalassessments.gov.au/dataset/85954bcb-3fc6-4b17-a35c-705b5093bec5.
Derived From Groundwater Economic Assets GLO 20150326
Derived From Gloucester digitised coal mine boundaries
Derived From National Groundwater Information System (NGIS) v1.1
Derived From Geofabric Surface Cartography - V2.1
Derived From EIS Gloucester Coal 2010
Derived From EIS for Rocky Hill Coal Project 2013
Derived From National Heritage List Spatial Database (NHL) (v2.1)
Derived From Gloucester - Additional assets from local councils
Derived From Groundwater Modelling Report for Stratford Coal Mine
Derived From Freshwater Fish Biodiversity Hotspots
Derived From GLO Receptors 20150828