Data

3 second abiotic environmental raster data for the NARCLIM region of Australia aggregated from various sources for modelling biodiversity patterns

Name: 3 second abiotic environmental raster data for the NARCLIM region of Australia aggregated from various sources for modelling biodiversity patterns
Published: 2020-12-02

Commonwealth Scientific and Industrial Research Organisation

Harwood, Tom ; King, Darran ; Nolan, Martin ; Gallant, John ; Ware, Chris ; Austin, Jenet ; Williams, Kristen

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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.25919/8ecs-g970&rft.title=3 second abiotic environmental raster data for the NARCLIM region of Australia aggregated from various sources for modelling biodiversity patterns&rft.identifier=https://doi.org/10.25919/8ecs-g970&rft.publisher=Commonwealth Scientific and Industrial Research Organisation&rft.description=This collection of 9-second raster data was compiled for use in modelling biodiversity pattern by developers engaged in supporting the New South Wales Biodiversity Indicators Program. Substrate and landform data derive from existing collections and have been altered from their native format to fill missing and erroneous data gaps as described in the lineage. Climate data were derived using existing methods as described in the lineage. Masks derived or adopted for use in processing the data are included in this collection. Data are supplied in ESRI float grid format, GCS GDA94 Geographic Coordinate System Geocentric Datum of Australia (GDA) 1994. \nLineage: The abiotic environmental data in this collection are grouped by broad type - climate, substrate and landform. Datasets are provided in separate compressed folders (*.zip or *.7z). An excel spreadsheet is included with the collection that list and briefly describes all datasets and their source URLs, and the processing location of the data in the CSIRO project archive. A lineage document summarises the mask and gap filling processes. Mask data were developed from existing spatial boundary data including Australian coastline, State and administration boundaries, and previous raster modelling masks for the NARCLIM region. The data gap filling process was conducted in three stages (python processing scripts are included in this collection). In the first stage, the process used a 10 cell Inverse Distance Weighted (IDW) algorithm to fill no Data areas with data. The IDW algorithm used the distance of data values in the search radius as inverse weights in a neighbourhood average. To deal with remaining larger gaps, a second stage IDW was run on the outputs of the first stage with an increased radius of 500 cells. Any remaining data gaps were filled with a global data average. This process of data filling may make the data unsuitable for other uses and should be carefully considered before use. Images of each dataset are provided in the collection for ease of reference. Data are supplied in ESRI float grid format, GCS GDA94 Geographic Coordinate System Geocentric Datum of Australia (GDA) 1994.&rft.creator=Harwood, Tom &rft.creator=King, Darran &rft.creator=Nolan, Martin &rft.creator=Gallant, John &rft.creator=Ware, Chris &rft.creator=Austin, Jenet &rft.creator=Williams, Kristen &rft.date=2020&rft.edition=v2&rft.relation=https://data.csiro.au/dap/SupportingAttachment?collectionId=41979&fileId=3156&rft.relation=http://dx.doi.org/10.1016/j.geoderma.2015.05.003&rft.relation=https://doi.org/10.1016/j.rse.2015.11.003&rft.relation=https://doi.org/10.1016/j.geoderma.2010.12.022&rft.coverage=westlimit=135.998749991; southlimit=-39.3812500021; eastlimit=153.702083317; northlimit=-23.5762500085; projection=WGS84&rft_rights=Creative Commons Attribution 4.0 International Licence https://creativecommons.org/licenses/by/4.0/&rft_rights=Data is accessible online and may be reused in accordance with licence conditions&rft_rights=All Rights (including copyright) CSIRO 2018.&rft_subject=3 second&rft_subject=New South Wales&rft_subject=NARCLIM&rft_subject=Biodiversity Indicator Program&rft_subject=BIP&rft_subject=Biodiversity Conservation Act 2016&rft_subject=soil&rft_subject=geology&rft_subject=climate&rft_subject=landform&rft_subject=geophysics&rft_subject=abiotic&rft_subject=environmental&rft_subject=biodiversity&rft_subject=coastline&rft_subject=smartline&rft_subject=Other earth sciences not elsewhere classified&rft_subject=Other earth sciences&rft_subject=EARTH SCIENCES&rft_subject=Ecological impacts of climate change and ecological adaptation&rft_subject=Climate change impacts and adaptation&rft_subject=ENVIRONMENTAL SCIENCES&rft_subject=Conservation and biodiversity&rft_subject=Environmental management&rft_subject=Topology&rft_subject=Pure mathematics&rft_subject=MATHEMATICAL SCIENCES&rft.type=dataset&rft.language=English Access the data

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Creative Commons Attribution 4.0 International Licence
https://creativecommons.org/licenses/by/4.0/

Data is accessible online and may be reused in accordance with licence conditions

All Rights (including copyright) CSIRO 2018.

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Brief description

This collection of 9-second raster data was compiled for use in modelling biodiversity pattern by developers engaged in supporting the New South Wales Biodiversity Indicators Program. Substrate and landform data derive from existing collections and have been altered from their native format to fill missing and erroneous data gaps as described in the lineage. Climate data were derived using existing methods as described in the lineage. Masks derived or adopted for use in processing the data are included in this collection. Data are supplied in ESRI float grid format, GCS GDA94 Geographic Coordinate System Geocentric Datum of Australia (GDA) 1994.
Lineage: The abiotic environmental data in this collection are grouped by broad type - climate, substrate and landform. Datasets are provided in separate compressed folders (*.zip or *.7z). An excel spreadsheet is included with the collection that list and briefly describes all datasets and their source URLs, and the processing location of the data in the CSIRO project archive. A lineage document summarises the mask and gap filling processes. Mask data were developed from existing spatial boundary data including Australian coastline, State and administration boundaries, and previous raster modelling masks for the NARCLIM region. The data gap filling process was conducted in three stages (python processing scripts are included in this collection). In the first stage, the process used a 10 cell Inverse Distance Weighted (IDW) algorithm to fill no Data areas with data. The IDW algorithm used the distance of data values in the search radius as inverse weights in a neighbourhood average. To deal with remaining larger gaps, a second stage IDW was run on the outputs of the first stage with an increased radius of 500 cells. Any remaining data gaps were filled with a global data average. This process of data filling may make the data unsuitable for other uses and should be carefully considered before use. Images of each dataset are provided in the collection for ease of reference. Data are supplied in ESRI float grid format, GCS GDA94 Geographic Coordinate System Geocentric Datum of Australia (GDA) 1994.

Available: 2020-12-02

Data time period: 1975-01-01 to 2016-01-01

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URL : data.csiro.au/collection/csiro:35317
Handle : 102.100.100/386148
DOI : 10.25919/8ECS-G970

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