3 datasets found
  1. Slope derived from 1" SRTM DEM-S

    • data.csiro.au
    Updated Jan 4, 2016
    + more versions
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    John Gallant; Jenet Austin (2016). Slope derived from 1" SRTM DEM-S [Dataset]. http://doi.org/10.4225/08/5689DA774564A
    Explore at:
    Dataset updated
    Jan 4, 2016
    Dataset provided by
    CSIROhttp://www.csiro.au/
    Authors
    John Gallant; Jenet Austin
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Feb 11, 2000 - Feb 22, 2000
    Area covered
    Dataset funded by
    CSIROhttp://www.csiro.au/
    Description

    Slope measures the inclination of the land surface from the horizontal. The percent slope and degrees slope products represent this inclination as the ratio of change in height to distance.

    The slope (percentage) and slope (degrees) products were derived from the Smoothed Digital Elevation Model (DEM-S; ANZCW0703014016), which was derived from the 1 second resolution SRTM data acquired by NASA in February 2000. The calculation of slope from DEM-S accounted for the varying spacing between grid points in the geographic projection.

    The 3 second resolution slope products were generated from the 1 second percent slope/degrees slope products and masked by the 3” water and ocean mask datasets.

    Lineage: Source data 1. 1 arc-second percent slope product or 1 second degrees slope 2. 1 arc-second SRTM-derived Smoothed Digital Elevation Model (DEM-S; ANZCW0703014016). 3. 3 second resolution SRTM water body and ocean mask datasets

    Slope calculation Slope was calculated from DEM-S using the finite difference method (Gallant and Wilson, 2000). The different spacing in the E-W and N-S directions due to the geographic projection of the data was accounted for by using the actual spacing in metres of the grid points calculated from the latitude.

    The slope calculation was performed on 1° x 1° tiles, with overlaps to ensure correct values at tile edges.

    The 3 second resolution versions were generated from the 1 second percent or degrees slope products. This was done by aggregating the 1” data over a 3 x 3 grid cell window and taking the mean of the nine values that contributed to each 3” output grid cell. The 3” data were then masked using the SRTM 3” ocean and water body datasets.

    References Gallant, J.C. and Wilson, J.P. (2000) Primary topographic attributes, chapter 3 in Wilson, J.P. and Gallant, J.C. Terrain Analysis: Principles and Applications, John Wiley and Sons, New York.

  2. Instagram users in the United Kingdom 2019-2028

    • statista.com
    • flwrdeptvarieties.store
    Updated Nov 22, 2024
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    Statista Research Department (2024). Instagram users in the United Kingdom 2019-2028 [Dataset]. https://www.statista.com/topics/3236/social-media-usage-in-the-uk/
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    Dataset updated
    Nov 22, 2024
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Statista Research Department
    Area covered
    United Kingdom
    Description

    The number of Instagram users in the United Kingdom was forecast to continuously increase between 2024 and 2028 by in total 2.1 million users (+7.02 percent). After the ninth consecutive increasing year, the Instagram user base is estimated to reach 32 million users and therefore a new peak in 2028. Notably, the number of Instagram users of was continuously increasing over the past years.User figures, shown here with regards to the platform instagram, have been estimated by taking into account company filings or press material, secondary research, app downloads and traffic data. They refer to the average monthly active users over the period and count multiple accounts by persons only once.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in up to 150 countries and regions worldwide. All indicators are sourced from international and national statistical offices, trade associations and the trade press and they are processed to generate comparable data sets (see supplementary notes under details for more information).

  3. T

    Australia Unemployment Rate

    • tradingeconomics.com
    • fa.tradingeconomics.com
    • +17more
    csv, excel, json, xml
    Updated Mar 20, 2025
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    TRADING ECONOMICS (2025). Australia Unemployment Rate [Dataset]. https://tradingeconomics.com/australia/unemployment-rate
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    csv, xml, excel, jsonAvailable download formats
    Dataset updated
    Mar 20, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Feb 28, 1978 - Feb 28, 2025
    Area covered
    Australia
    Description

    Unemployment Rate in Australia remained unchanged at 4.10 percent in February. This dataset provides - Australia Unemployment Rate at 5.8% in December - actual values, historical data, forecast, chart, statistics, economic calendar and news.

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Click to copy link
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Close
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John Gallant; Jenet Austin (2016). Slope derived from 1" SRTM DEM-S [Dataset]. http://doi.org/10.4225/08/5689DA774564A
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Slope derived from 1" SRTM DEM-S

Explore at:
18 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Jan 4, 2016
Dataset provided by
CSIROhttp://www.csiro.au/
Authors
John Gallant; Jenet Austin
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Time period covered
Feb 11, 2000 - Feb 22, 2000
Area covered
Dataset funded by
CSIROhttp://www.csiro.au/
Description

Slope measures the inclination of the land surface from the horizontal. The percent slope and degrees slope products represent this inclination as the ratio of change in height to distance.

The slope (percentage) and slope (degrees) products were derived from the Smoothed Digital Elevation Model (DEM-S; ANZCW0703014016), which was derived from the 1 second resolution SRTM data acquired by NASA in February 2000. The calculation of slope from DEM-S accounted for the varying spacing between grid points in the geographic projection.

The 3 second resolution slope products were generated from the 1 second percent slope/degrees slope products and masked by the 3” water and ocean mask datasets.

Lineage: Source data 1. 1 arc-second percent slope product or 1 second degrees slope 2. 1 arc-second SRTM-derived Smoothed Digital Elevation Model (DEM-S; ANZCW0703014016). 3. 3 second resolution SRTM water body and ocean mask datasets

Slope calculation Slope was calculated from DEM-S using the finite difference method (Gallant and Wilson, 2000). The different spacing in the E-W and N-S directions due to the geographic projection of the data was accounted for by using the actual spacing in metres of the grid points calculated from the latitude.

The slope calculation was performed on 1° x 1° tiles, with overlaps to ensure correct values at tile edges.

The 3 second resolution versions were generated from the 1 second percent or degrees slope products. This was done by aggregating the 1” data over a 3 x 3 grid cell window and taking the mean of the nine values that contributed to each 3” output grid cell. The 3” data were then masked using the SRTM 3” ocean and water body datasets.

References Gallant, J.C. and Wilson, J.P. (2000) Primary topographic attributes, chapter 3 in Wilson, J.P. and Gallant, J.C. Terrain Analysis: Principles and Applications, John Wiley and Sons, New York.

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