6 datasets found
  1. Sri Lanka LK: Average Precipitation in Depth

    • ceicdata.com
    Updated Apr 15, 2023
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    CEICdata.com (2023). Sri Lanka LK: Average Precipitation in Depth [Dataset]. https://www.ceicdata.com/en/sri-lanka/land-use-protected-areas-and-national-wealth/lk-average-precipitation-in-depth
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    Dataset updated
    Apr 15, 2023
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Dec 1, 1962 - Dec 1, 2014
    Area covered
    Sri Lanka
    Description

    Sri Lanka LK: Average Precipitation in Depth data was reported at 1,712.000 mm/Year in 2014. This stayed constant from the previous number of 1,712.000 mm/Year for 2012. Sri Lanka LK: Average Precipitation in Depth data is updated yearly, averaging 1,712.000 mm/Year from Dec 1962 (Median) to 2014, with 12 observations. The data reached an all-time high of 1,712.000 mm/Year in 2014 and a record low of 1,712.000 mm/Year in 2014. Sri Lanka LK: Average Precipitation in Depth data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Sri Lanka – Table LK.World Bank: Land Use, Protected Areas and National Wealth. Average precipitation is the long-term average in depth (over space and time) of annual precipitation in the country. Precipitation is defined as any kind of water that falls from clouds as a liquid or a solid.; ; Food and Agriculture Organization, electronic files and web site.; ;

  2. f

    Multivariable ARDL models for the three climate zones.

    • figshare.com
    xls
    Updated Jan 13, 2025
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    Janith Warnasekara; Suneth Agampodi; Rupika Abeynayake (2025). Multivariable ARDL models for the three climate zones. [Dataset]. http://doi.org/10.1371/journal.pone.0248032.t007
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jan 13, 2025
    Dataset provided by
    PLOS ONE
    Authors
    Janith Warnasekara; Suneth Agampodi; Rupika Abeynayake
    License

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

    Description

    Multivariable ARDL models for the three climate zones.

  3. Best-fitting univariate SARIMA models to describe the incidence of...

    • plos.figshare.com
    xls
    Updated Jan 13, 2025
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    Janith Warnasekara; Suneth Agampodi; Rupika Abeynayake (2025). Best-fitting univariate SARIMA models to describe the incidence of leptospirosis in three climate zones in Sri Lanka. [Dataset]. http://doi.org/10.1371/journal.pone.0248032.t006
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jan 13, 2025
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Janith Warnasekara; Suneth Agampodi; Rupika Abeynayake
    License

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

    Area covered
    Sri Lanka
    Description

    Best-fitting univariate SARIMA models to describe the incidence of leptospirosis in three climate zones in Sri Lanka.

  4. f

    Multivariable ARDL models for the three climate zones.

    • plos.figshare.com
    xls
    Updated Jan 13, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Janith Warnasekara; Suneth Agampodi; Rupika Abeynayake (2025). Multivariable ARDL models for the three climate zones. [Dataset]. http://doi.org/10.1371/journal.pone.0248032.t007
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jan 13, 2025
    Dataset provided by
    PLOS ONE
    Authors
    Janith Warnasekara; Suneth Agampodi; Rupika Abeynayake
    License

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

    Description

    Multivariable ARDL models for the three climate zones.

  5. f

    Unit root test for variables to assess the order of integration.

    • plos.figshare.com
    xls
    Updated Jan 13, 2025
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    Janith Warnasekara; Suneth Agampodi; Rupika Abeynayake (2025). Unit root test for variables to assess the order of integration. [Dataset]. http://doi.org/10.1371/journal.pone.0248032.t002
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jan 13, 2025
    Dataset provided by
    PLOS ONE
    Authors
    Janith Warnasekara; Suneth Agampodi; Rupika Abeynayake
    License

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

    Description

    Unit root test for variables to assess the order of integration.

  6. f

    Correlation coefficient (r) between the number of patients with...

    • plos.figshare.com
    xls
    Updated Jan 13, 2025
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    Janith Warnasekara; Suneth Agampodi; Rupika Abeynayake (2025). Correlation coefficient (r) between the number of patients with leptospirosis and individual meteorological variables for each of the climatic zones. [Dataset]. http://doi.org/10.1371/journal.pone.0248032.t005
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jan 13, 2025
    Dataset provided by
    PLOS ONE
    Authors
    Janith Warnasekara; Suneth Agampodi; Rupika Abeynayake
    License

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

    Description

    Correlation coefficient (r) between the number of patients with leptospirosis and individual meteorological variables for each of the climatic zones.

  7. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

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TwitterTwitter
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Click to copy link
Link copied
Close
Cite
CEICdata.com (2023). Sri Lanka LK: Average Precipitation in Depth [Dataset]. https://www.ceicdata.com/en/sri-lanka/land-use-protected-areas-and-national-wealth/lk-average-precipitation-in-depth
Organization logo

Sri Lanka LK: Average Precipitation in Depth

Explore at:
Dataset updated
Apr 15, 2023
Dataset provided by
CEIC Data
License

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

Time period covered
Dec 1, 1962 - Dec 1, 2014
Area covered
Sri Lanka
Description

Sri Lanka LK: Average Precipitation in Depth data was reported at 1,712.000 mm/Year in 2014. This stayed constant from the previous number of 1,712.000 mm/Year for 2012. Sri Lanka LK: Average Precipitation in Depth data is updated yearly, averaging 1,712.000 mm/Year from Dec 1962 (Median) to 2014, with 12 observations. The data reached an all-time high of 1,712.000 mm/Year in 2014 and a record low of 1,712.000 mm/Year in 2014. Sri Lanka LK: Average Precipitation in Depth data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Sri Lanka – Table LK.World Bank: Land Use, Protected Areas and National Wealth. Average precipitation is the long-term average in depth (over space and time) of annual precipitation in the country. Precipitation is defined as any kind of water that falls from clouds as a liquid or a solid.; ; Food and Agriculture Organization, electronic files and web site.; ;

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