Dataset: Receptors for the Clarence-Moreton subregion



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

Receptors derived for the Clarence-Moreton subregion/bioregion, as at 21st August, 2015, in ESRI shapefile format. A receptor is a point in the landscape where water-related impacts on assets are measured and/or estimated. All receptors within this dataset are listed in the receptor register as described in BA Product 1.4: 'Description of the receptor register for the Clarence-Moreton bioregion'.

Dataset History

Receptor assignment for all records (other than those where lc_name = 'economic') was determined using a Python script.

Inputs were the Geofabric surface catchments (ea1b6f6c-e8a3-4c78-a463-044c89857fc0) and network geodatabases (d84e51f0-c1c1-4cf9-a23c-591f66be0d40), plus the Clarence-Moreton land classification dataset (a1d97959-d0f9-4deb-ab9b-af88120efd07), with PFAFstetter level defined as level 6.

The code created a receptor (point) for each polygon within the Clarence-Moreton land classification dataset. The resultant ESRI shapefile dataset is Geographic project, GDA94 datum. The following attributes are defined for each record:

  1. 'distance' - from receptor to nearest PFAFstetter node

  2. 'asset' id - 'asset' here being the input Clarence-Moreton land classification dataset, 'id' is the input dataset's FID

  3. 'node_id' - hydro-id of the nearest (hydrologically speaking) downstream Geofabric PFAFstetter node

  4. 'node_area' - the upstream area for the catchment relating to the node id

  5. 'latitude' - geographic y location (decimal degrees)

  6. 'longitude' - geographic x location (decimal degrees)

  7. 'lc_name' - land classification name

  8. 'RegID' - region ID, unique for the Clarence-Moreton subregion/bioregion


  1. Usually one receptor per polygon was created, but two or more were created when a polygon intersected with more than one PFAFstetter catchment.

  2. For some coastal catchments, where there is no Geofabric node, receptors were not produced. For the Clarence-Moreton subregion/bioregion, this was not considered to be a serious problem as coastal areas are not relevant to the conceptual modelling and risk assessment processes of a BA.

For point-based economic receptors (lc_name = 'economic'), each receptor point was defined according to the location of economic point-based assets within the water-dependent assets database (451eddb7-1c1d-40c8-8dd3-375b564e2507). These were not run through the Python code and therefore do not have 'distance', 'ass_id', 'node_id' or 'node_area' attribute information. These points are all defined as 'lc_name' of 'economic' but note that the receptor register derived from this dataset defines each of these economic receptors as 'null'.

Refer to BA Product 1.4 'Description of the receptor register for the Clarence-Moreton bioregion', for further details.

Dataset Citation

Bioregional Assessment Programme (2015) Receptors for the Clarence-Moreton subregion. Bioregional Assessment Derived Dataset. Viewed 10 July 2017,

Dataset Ancestors

General Information