Data

GLO Ecological expert elicitation and receptor impact models v01

data.gov.au
Bioregional Assessment Program (Owned by)
Viewed: [[ro.stat.viewed]] Cited: [[ro.stat.cited]] Accessed: [[ro.stat.accessed]]
ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=http://data.gov.au/data/dataset/aa8da36b-99bb-41a6-a4bb-484a52b2ed1e&rft.title=GLO Ecological expert elicitation and receptor impact models v01&rft.identifier=76fb9d24-b8db-4251-b944-f69f983507ff&rft.publisher=data.gov.au&rft.description=## **Abstract** \n\nThe 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.\n\n\n\nReceptor impact models (RIMs) use inputs from surface water and groundwater models. For a given node, there is a value for each combination of hydrological response variable, future, and replicate or run number. RIMs are developed for specific landscape classes. The hydrological response variables that a RIM within a landscape class requires are organised by the R script RIM_Prediction_CreateArray.R into an array. The formatted data is available as an R data file format called RDS and can be read directly into R. The R script IMIA_XXX_RIM_predictions.R applies the receptor model functions (RDS object as part of Data set 1: Ecological expert elicitation and receptor impact models for the XXX subregion) to the HRV array for each landscape class (or landscape group) to make predictions of receptor impact varibles (RIVs). Predictions of a receptor impact from a RIM for a landscape class are summarised at relevant AUIDs by the 5th through to the 95th percentiles (in 5% increments) for baseline and CRDP futures. These are available in the XXX_RIV_quantiles_IMIA.csv data set. RIV predictions are further summarised and compared as boxplots (using the R script boxplotsbyfutureperiod.R) and as (aggregated) spatial risk maps using GIS.\n\n## **Dataset History** \n\nReceptor impact models (RIMs) are developed for specific landscape classes. The hydrological response variables that a RIM within a landscape class requires are organised by the R script RIM_Prediction_CreateArray.R into an array. The formatted data is available as an R data file format called RDS and can be read directly into R. \n\nThe R script IMIA_XXX_RIM_predictions.R applies the receptor model functions (RDS object as part of Data set 1: Ecological expert elicitation and receptor impact models for the XXX subregion) to the HRV array for each landscape class (or landscape group) to make predictions of receptor impact varibles (RIVs). Predictions of a receptor impact from a RIM for a landscape class are summarised at relevant AUIDs by the 5th through to the 95th percentiles (in 5% increments) for baseline and CRDP futures. These are available in the XXX_RIV_quantiles_IMIA.csv data set. RIV predictions are further summarised and compared as boxplots (using the R script boxplotsbyfutureperiod.R) and as (aggregated) spatial risk maps using GIS.\n\n## **Dataset Citation** \n\nBioregional Assessment Programme (XXXX) GLO Ecological expert elicitation and receptor impact models v01. Bioregional Assessment Derived Dataset. Viewed 12 July 2018, http://data.bioregionalassessments.gov.au/dataset/76fb9d24-b8db-4251-b944-f69f983507ff.\n\n## **Dataset Ancestors** \n\n* **Derived From** [Groundwater Dependent Ecosystems supplied by the NSW Office of Water on 13/05/2014](https://data.gov.au/data/dataset/1bdc6089-c114-4485-b962-35a8b3d2357f)\n\n* **Derived From** [Greater Hunter Native Vegetation Mapping with Classification for Mapping](https://data.gov.au/data/dataset/73abc2f6-1b8a-43a0-b458-c67ee4275edc)\n\n* **Derived From** [BA ALL mean annual flow for NSW - Choudhury implementation of Budyko runoff v01](https://data.gov.au/data/dataset/b20d185f-3d22-4b5d-be87-89ce13505ce7)\n\n* **Derived From** [Bioregional Assessment areas v06](https://data.gov.au/data/dataset/54d7cc96-5129-450a-aef4-73197f9bc09d)\n\n* **Derived From** [Bioregional Assessment areas v04](https://data.gov.au/data/dataset/e8a2d577-c5c5-4e2c-b0fa-53e4b2d4a034)\n\n* **Derived From** [Bioregional Assessment areas v02](https://data.gov.au/data/dataset/e414b1b3-c42e-42e9-9cc4-2093054aa35f)\n\n* **Derived From** [Gippsland Project boundary](https://data.gov.au/data/dataset/27413de5-d13a-4231-ac79-fc77f4cbb5f7)\n\n* **Derived From** [Natural Resource Management (NRM) Regions 2010](https://data.gov.au/data/dataset/1d54e38f-4051-4f0c-a350-c7dbd8eba65b)\n\n* **Derived From** [GLO subregion boundaries for Impact and Risk Analysis 20160712 v01](https://data.gov.au/data/dataset/b1fa8214-ceec-47d8-b074-8539e94f728f)\n\n* **Derived From** [GEODATA TOPO 250K Series 3, File Geodatabase format (.gdb)](https://data.gov.au/data/dataset/96ebf889-f726-4967-9964-714fb57d679b)\n\n* **Derived From** [Bioregional_Assessment_Programme_Catchment Scale Land Use of Australia - 2014](https://data.gov.au/data/dataset/6f72f73c-8a61-4ae9-b8b5-3f67ec918826)\n\n* **Derived From** [GEODATA TOPO 250K Series 3](https://data.gov.au/data/dataset/a0650f18-518a-4b99-a553-44f82f28bb5f)\n\n* **Derived From** [Australian Geological Provinces, v02](https://data.gov.au/data/dataset/13ad6933-ee80-4c51-a97b-bac1e8bef16d)\n\n* **Derived From** [NSW Catchment Management Authority Boundaries 20130917](https://data.gov.au/data/dataset/0dc4272e-c081-4ed4-9645-aa336ffacd85)\n\n* **Derived From** [Geological Provinces - Full Extent](https://data.gov.au/data/dataset/0a064b3b-2a1e-4672-80d9-03333be67aad)\n\n* **Derived From** [GLO Preliminary Assessment Extent](https://data.gov.au/data/dataset/c0dba74a-feee-440f-a53a-ea31be8479a5)\n\n* **Derived From** [Australian Coal Basins](https://data.gov.au/data/dataset/9d5a8d74-a201-42bd-9d49-3c392244be16)\n\n* **Derived From** [Gloucester River Types v01](https://data.gov.au/data/dataset/4949961d-be38-4d42-9aec-5dfec55fed7b)\n\n* **Derived From** [Bioregional Assessment areas v03](https://data.gov.au/data/dataset/96dbf469-5463-4f4d-8fad-4214c97e5aac)\n\n* **Derived From** [Bioregional Assessment areas v05](https://data.gov.au/data/dataset/25f89049-839d-4736-bd81-97d8e8a40f8e)\n\n* **Derived From** [BILO Gridded Climate Data: Daily Climate Data for each year from 1900 to 2012](https://data.gov.au/data/dataset/7aaf0621-a0e5-4b01-9333-53ebcb1f1c14)\n\n* **Derived From** [GLO Landscape Classification 20161219 v05](https://data.gov.au/data/dataset/70929f88-0799-46a5-9ee1-4d8852e89788)\n\n* **Derived From** [Gloucester river types V02](https://data.gov.au/data/dataset/0b1243c5-2cab-4675-b3f5-6b920daf377b)\n\n* **Derived From** [Gloucester Coal Basin](https://data.gov.au/data/dataset/a451ad06-e6a9-48bd-ba83-c0a4d191a1f4)\n\n* **Derived From** [Greater Hunter Native Vegetation Mapping](https://data.gov.au/data/dataset/8f575981-3730-4989-84ce-c90204158406)\n\n* **Derived From** [Mean Annual Climate Data of Australia 1981 to 2012](https://data.gov.au/data/dataset/02418c67-f8bb-48a8-88a3-2a5c6b485f78)\n\n* **Derived From** [Subcatchment boundaries within and nearby the Gloucester subregion](https://data.gov.au/data/dataset/71a9e120-fc7c-4f51-983f-99a2b10c65b9)\n\n* **Derived From** [Bioregional Assessment areas v01](https://data.gov.au/data/dataset/0fd0d820-30b3-451f-a126-a50040426999)\n\n* **Derived From** [Geofabric Hydrology Reporting Catchments - V2.1](https://data.gov.au/data/dataset/ce066e36-49ad-4f77-b505-b1d2a4fe9c6a)\n\n* **Derived From** [Victoria - Seamless Geology 2014](https://data.gov.au/data/dataset/2872d02e-66cb-42b6-9e5a-63abc8ad871b)\n\n&rft.creator=Bioregional Assessment Program&rft.date=2023&rft.coverage=POLYGON ((0 0, 0 0, 0 0, 0 0))&rft_rights=Restricted access. This dataset is not available for public distribution.&rft_subject=Gloucester subregion&rft_subject=environment&rft.type=dataset&rft.language=English Access the data
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Brief description

## **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.



Receptor impact models (RIMs) use inputs from surface water and groundwater models. For a given node, there is a value for each combination of hydrological response variable, future, and replicate or run number. RIMs are developed for specific landscape classes. The hydrological response variables that a RIM within a landscape class requires are organised by the R script RIM_Prediction_CreateArray.R into an array. The formatted data is available as an R data file format called RDS and can be read directly into R. The R script IMIA_XXX_RIM_predictions.R applies the receptor model functions (RDS object as part of Data set 1: Ecological expert elicitation and receptor impact models for the XXX subregion) to the HRV array for each landscape class (or landscape group) to make predictions of receptor impact varibles (RIVs). Predictions of a receptor impact from a RIM for a landscape class are summarised at relevant AUIDs by the 5th through to the 95th percentiles (in 5% increments) for baseline and CRDP futures. These are available in the XXX_RIV_quantiles_IMIA.csv data set. RIV predictions are further summarised and compared as boxplots (using the R script boxplotsbyfutureperiod.R) and as (aggregated) spatial risk maps using GIS.

## **Dataset History**

Receptor impact models (RIMs) are developed for specific landscape classes. The hydrological response variables that a RIM within a landscape class requires are organised by the R script RIM_Prediction_CreateArray.R into an array. The formatted data is available as an R data file format called RDS and can be read directly into R.

The R script IMIA_XXX_RIM_predictions.R applies the receptor model functions (RDS object as part of Data set 1: Ecological expert elicitation and receptor impact models for the XXX subregion) to the HRV array for each landscape class (or landscape group) to make predictions of receptor impact varibles (RIVs). Predictions of a receptor impact from a RIM for a landscape class are summarised at relevant AUIDs by the 5th through to the 95th percentiles (in 5% increments) for baseline and CRDP futures. These are available in the XXX_RIV_quantiles_IMIA.csv data set. RIV predictions are further summarised and compared as boxplots (using the R script boxplotsbyfutureperiod.R) and as (aggregated) spatial risk maps using GIS.

## **Dataset Citation**

Bioregional Assessment Programme (XXXX) GLO Ecological expert elicitation and receptor impact models v01. Bioregional Assessment Derived Dataset. Viewed 12 July 2018, http://data.bioregionalassessments.gov.au/dataset/76fb9d24-b8db-4251-b944-f69f983507ff.

## **Dataset Ancestors**

* **Derived From** [Groundwater Dependent Ecosystems supplied by the NSW Office of Water on 13/05/2014](https://data.gov.au/data/dataset/1bdc6089-c114-4485-b962-35a8b3d2357f)

* **Derived From** [Greater Hunter Native Vegetation Mapping with Classification for Mapping](https://data.gov.au/data/dataset/73abc2f6-1b8a-43a0-b458-c67ee4275edc)

* **Derived From** [BA ALL mean annual flow for NSW - Choudhury implementation of Budyko runoff v01](https://data.gov.au/data/dataset/b20d185f-3d22-4b5d-be87-89ce13505ce7)

* **Derived From** [Bioregional Assessment areas v06](https://data.gov.au/data/dataset/54d7cc96-5129-450a-aef4-73197f9bc09d)

* **Derived From** [Bioregional Assessment areas v04](https://data.gov.au/data/dataset/e8a2d577-c5c5-4e2c-b0fa-53e4b2d4a034)

* **Derived From** [Bioregional Assessment areas v02](https://data.gov.au/data/dataset/e414b1b3-c42e-42e9-9cc4-2093054aa35f)

* **Derived From** [Gippsland Project boundary](https://data.gov.au/data/dataset/27413de5-d13a-4231-ac79-fc77f4cbb5f7)

* **Derived From** [Natural Resource Management (NRM) Regions 2010](https://data.gov.au/data/dataset/1d54e38f-4051-4f0c-a350-c7dbd8eba65b)

* **Derived From** [GLO subregion boundaries for Impact and Risk Analysis 20160712 v01](https://data.gov.au/data/dataset/b1fa8214-ceec-47d8-b074-8539e94f728f)

* **Derived From** [GEODATA TOPO 250K Series 3, File Geodatabase format (.gdb)](https://data.gov.au/data/dataset/96ebf889-f726-4967-9964-714fb57d679b)

* **Derived From** [Bioregional_Assessment_Programme_Catchment Scale Land Use of Australia - 2014](https://data.gov.au/data/dataset/6f72f73c-8a61-4ae9-b8b5-3f67ec918826)

* **Derived From** [GEODATA TOPO 250K Series 3](https://data.gov.au/data/dataset/a0650f18-518a-4b99-a553-44f82f28bb5f)

* **Derived From** [Australian Geological Provinces, v02](https://data.gov.au/data/dataset/13ad6933-ee80-4c51-a97b-bac1e8bef16d)

* **Derived From** [NSW Catchment Management Authority Boundaries 20130917](https://data.gov.au/data/dataset/0dc4272e-c081-4ed4-9645-aa336ffacd85)

* **Derived From** [Geological Provinces - Full Extent](https://data.gov.au/data/dataset/0a064b3b-2a1e-4672-80d9-03333be67aad)

* **Derived From** [GLO Preliminary Assessment Extent](https://data.gov.au/data/dataset/c0dba74a-feee-440f-a53a-ea31be8479a5)

* **Derived From** [Australian Coal Basins](https://data.gov.au/data/dataset/9d5a8d74-a201-42bd-9d49-3c392244be16)

* **Derived From** [Gloucester River Types v01](https://data.gov.au/data/dataset/4949961d-be38-4d42-9aec-5dfec55fed7b)

* **Derived From** [Bioregional Assessment areas v03](https://data.gov.au/data/dataset/96dbf469-5463-4f4d-8fad-4214c97e5aac)

* **Derived From** [Bioregional Assessment areas v05](https://data.gov.au/data/dataset/25f89049-839d-4736-bd81-97d8e8a40f8e)

* **Derived From** [BILO Gridded Climate Data: Daily Climate Data for each year from 1900 to 2012](https://data.gov.au/data/dataset/7aaf0621-a0e5-4b01-9333-53ebcb1f1c14)

* **Derived From** [GLO Landscape Classification 20161219 v05](https://data.gov.au/data/dataset/70929f88-0799-46a5-9ee1-4d8852e89788)

* **Derived From** [Gloucester river types V02](https://data.gov.au/data/dataset/0b1243c5-2cab-4675-b3f5-6b920daf377b)

* **Derived From** [Gloucester Coal Basin](https://data.gov.au/data/dataset/a451ad06-e6a9-48bd-ba83-c0a4d191a1f4)

* **Derived From** [Greater Hunter Native Vegetation Mapping](https://data.gov.au/data/dataset/8f575981-3730-4989-84ce-c90204158406)

* **Derived From** [Mean Annual Climate Data of Australia 1981 to 2012](https://data.gov.au/data/dataset/02418c67-f8bb-48a8-88a3-2a5c6b485f78)

* **Derived From** [Subcatchment boundaries within and nearby the Gloucester subregion](https://data.gov.au/data/dataset/71a9e120-fc7c-4f51-983f-99a2b10c65b9)

* **Derived From** [Bioregional Assessment areas v01](https://data.gov.au/data/dataset/0fd0d820-30b3-451f-a126-a50040426999)

* **Derived From** [Geofabric Hydrology Reporting Catchments - V2.1](https://data.gov.au/data/dataset/ce066e36-49ad-4f77-b505-b1d2a4fe9c6a)

* **Derived From** [Victoria - Seamless Geology 2014](https://data.gov.au/data/dataset/2872d02e-66cb-42b6-9e5a-63abc8ad871b)

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Spatial Coverage And Location

text: POLYGON ((0 0, 0 0, 0 0, 0 0))

Subjects
Gloucester subregion | environment |

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