Dataset: Asset database for the Namoi subregion on 15 January 2015



The dataset was derived by the Bioregional Assessment Programme. This dataset was derived from multiple datasets. You can find a link to the parent datasets in the Lineage Field in this metadata statement. The History Field in this metadata statement describes how this dataset was derived.

This dataset contains the spatial and non-spatial (attribute) components of the Namoi subregion Asset List as an .mdb file, which is readable as an MS Access database or as an ESRI Personal Geodatabase.

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 Namoi is included in the zip file as part of this dataset (Namoi_Phase01_Final.pdf).

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 Namoi 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 "NAM_AssetList_v4_20150115_description.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 "NAM_AssetList_v4_20150115_description.doc" located in the zip file as part of this dataset.

Some of the source data used in the compilation of this dataset is restricted. This dataset is not to be published in its current form.

A spreadsheet that contains the Namoi Asset List and the Water Dependent Asset Register is available for public release:

Water-dependent asset register and asset list for the Namoi subregion on 15 January 2015

ID: de112f5b-a4e8-4238-b8e6-662ca8c0ea51


The Asset List Database was developed to spatially identify water dependent assets found within the Namoi subregion.

Dataset History

On 20 April 2015 the title of this database was changed from "Namoi_AssetList_Database_v4_20150115".

This dataset replicates the spatial and tabular content and structure of the previous version of the Namoi asset list ("Asset list for Namoi - CURRENT"; ID: 538c717c-c04a-4720-8bcd-96fbdf7f0d80) with the exception that decisions made by the Namoi Project Team concerning Materiality Test 2 (water dependency) have been incorporated into the AssetList table, which are used to define the water dependent asset register.

Date Notes

22/07/2014 Initial database for asset related tables and feature classes, and imported element data from element list database

5/09/2014 Updated database with updated WSP/GWMP/RegRiv assets/elements; additional WSP plus point water volume data and additional RegRiv plus point water volume data

18/11/2014 Merge some assets with non standard classification to standard classification

18/11/2014 add additional point groundwater economic data ( 121 new elements)

18/11/2014 add additional point surface water economic data (49 new elements)

15/01/2015 Incorporate materiality decisions (M2) from project team into AssetList table

Dataset Citation

Bioregional Assessment Programme (2015) Asset database for the Namoi subregion on 15 January 2015. Bioregional Assessment Derived Dataset. Viewed 11 December 2018,

Dataset Ancestors

General Information