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  1. Title: LandScan 2019 global population database

    Contributors:

    Summary: At approximately 1 km resolution (30" X 30"), LandScan is the finest resolution global population distribution data available and represents an ambient population (average over 24 hours). The LandScan algorithm uses spatial data and imagery analysis technologies and a multi-variable dasymetric modeling approach to disaggregate census counts within an administrative boundary. Since no single population distribution model can account for the differences in spatial data availability, quality, scale, and accuracy as well as the differences in cultural settlement practices, LandScan population distribution models are tailored to match the data conditions and geographical nature of each individual country and region. Title from disk surface Developed by Oak Ridge National Laboratory.

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  2. Title: LandScan Global Population Database 2019

    Contributors:

    Summary: This raster dataset contains population counts at 30 arc second resolution (1 km. or finer) for 2019. This release represents the 2019 edition of LandScan and succeeds all previous versions. Using an innovative approach with Geographic Information System and Remote Sensing, ORNL's LandScan is the community standard for global population distribution. At approximately 1 km resolution (30" X 30"), LandScan is the finest resolution global population distribution data available and represents an ambient population (average over 24 hours). The LandScan algorithm, an R&D 100 Award Winner, uses spatial data and imagery analysis technologies and a multi-variable dasymetric modeling approach to disaggregate census counts within an administrative boundary. Since no single population distribution model can account for the differences in spatial data availability, quality, scale, and accuracy as well as the differences in cultural settlement practices. This dataset is part of the LandScan 2019 global population database. Developed for the U. S. Department of Defense. Allows for quick and easy assessment, estimation, and visualization of populations-at-risk. Oak Ridge National Laboratory. (2018) LandScan Global Population Database 2018. Oak Ridge National Laboratory, UT-Battelle, LLC. Available at: http://purl.stanford.edu/qf389cd0263 IMPORTANT: For correct population analysis using ESRI products assure that the following parameters are set:- Use ONLY Geographic, WGS84 projection parameters.- Spatial Analysis cell size is 0.008333333333333 (double precision)- Spatial Analysis extent should be set to an exact multiple of the cell size (for example 35.25, 35.50, 35.0)Converting (including on-the-fly projections) a grid to other projections or coordinate systems causes population cells to be re-sampled, and hence population counts will be incorrect.In ESRI ArcMap, load the LandScan grid first in order to maintain the original geographic (lat-lon) projection."The dataset has a spatial resolution of 30 arc-seconds and is output in a geographical coordinate system - World Geodetic System (WGS) 84 datum. The 30 arc-second cell, or 0.008333333 decimal degrees, represents approximately 1 km2 near the equator. Since the data is in a spherical coordinate system, cell width decreases in a relationship that varies with the cosine of the latitude of the cell. Thus a cell at 60 degrees latitude would have a width that is half that of a cell at the equator (cos60 = 0.5). The height of the cells does not vary. The values of the cells are integer population counts, not population density, since the cells vary in size. Population counts are normalized to sum to each sub-national administrative unit estimate. For this reason, projecting the data in a raster format to a different coordinate system (including on-the-fly projections) will result in a re-sampling of the data and the integrity of normalized population counts will be compromised. Also prior to all spatial analysis, users should ensure that extents are set to an exact multiple of the cell size (for example 35.25, 35.50, 35.0) to avoid 'shifting' of the dataset." --from the Oak Ridge National Laboratory LandScan Web site, Sept. 12, 2018. This layer is presented in the WGS84 coordinate system for web display purposes. Downloadable data are provided in native coordinate system or projection.

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  3. Title: LandScan Global Population Database 2018

    Contributors:

    Summary: This raster dataset contains population counts at 30 arc second resolution (1 km. or finer) for 2018. This release represents the 2018 edition of LandScan and succeeds all previous versions. Using an innovative approach with Geographic Information System and Remote Sensing, ORNL's LandScan is the community standard for global population distribution. At approximately 1 km resolution (30" X 30"), LandScan is the finest resolution global population distribution data available and represents an ambient population (average over 24 hours). The LandScan algorithm, an R&D 100 Award Winner, uses spatial data and imagery analysis technologies and a multi-variable dasymetric modeling approach to disaggregate census counts within an administrative boundary. Since no single population distribution model can account for the differences in spatial data availability, quality, scale, and accuracy as well as the differences in cultural settlement practices. This dataset is part of the LandScan 2018 global population database. Developed for the U. S. Department of Defense. Allows for quick and easy assessment, estimation, and visualization of populations-at-risk. Oak Ridge National Laboratory. (2018) LandScan Global Population Database 2018. Oak Ridge National Laboratory, UT-Battelle, LLC. Available at: http://purl.stanford.edu/cb552gf9863. IMPORTANT: For correct population analysis using ESRI products assure that the following parameters are set:- Use ONLY Geographic, WGS84 projection parameters.- Spatial Analysis cell size is 0.008333333333333 (double precision)- Spatial Analysis extent should be set to an exact multiple of the cell size (for example 35.25, 35.50, 35.0)Converting (including on-the-fly projections) a grid to other projections or coordinate systems causes population cells to be re-sampled, and hence population counts will be incorrect.In ESRI ArcMap, load the LandScan grid first in order to maintain the original geographic (lat-lon) projection."The dataset has a spatial resolution of 30 arc-seconds and is output in a geographical coordinate system - World Geodetic System (WGS) 84 datum. The 30 arc-second cell, or 0.008333333 decimal degrees, represents approximately 1 km2 near the equator. Since the data is in a spherical coordinate system, cell width decreases in a relationship that varies with the cosine of the latitude of the cell. Thus a cell at 60 degrees latitude would have a width that is half that of a cell at the equator (cos60 = 0.5). The height of the cells does not vary. The values of the cells are integer population counts, not population density, since the cells vary in size. Population counts are normalized to sum to each sub-national administrative unit estimate. For this reason, projecting the data in a raster format to a different coordinate system (including on-the-fly projections) will result in a re-sampling of the data and the integrity of normalized population counts will be compromised. Also prior to all spatial analysis, users should ensure that extents are set to an exact multiple of the cell size (for example 35.25, 35.50, 35.0) to avoid 'shifting' of the dataset." --from the Oak Ridge National Laboratory LandScan Web site, Sept. 12, 2018. This layer is presented in the WGS84 coordinate system for web display purposes. Downloadable data are provided in native coordinate system or projection.

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  4. Title: LandScan 2017 global population database

    Contributors:

    Summary: At approximately 1 km resolution (30" X 30"), LandScan is the finest resolution global population distribution data available and represents an ambient population (average over 24 hours). The LandScan algorithm uses spatial data and imagery analysis technologies and a multi-variable dasymetric modeling approach to disaggregate census counts within an administrative boundary. Since no single population distribution model can account for the differences in spatial data availability, quality, scale, and accuracy as well as the differences in cultural settlement practices, LandScan population distribution models are tailored to match the data conditions and geographical nature of each individual country and region. Title from disk surface Developed by Oak Ridge National Laboratory.

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  5. Title: LandScan Global Population Database 2016

    Contributors:

    Summary: This raster dataset contains population counts at 30 arc second resolution (1 km. or finer) for 2016. This release represents the 2016 edition of LandScan and succeeds all previous versions. Using an innovative approach with Geographic Information System and Remote Sensing, ORNL's LandScan is the community standard for global population distribution. At approximately 1 km resolution (30" X 30"), LandScan is the finest resolution global population distribution data available and represents an ambient population (average over 24 hours). The LandScan algorithm, an R&D 100 Award Winner, uses spatial data and imagery analysis technologies and a multi-variable dasymetric modeling approach to disaggregate census counts within an administrative boundary. Since no single population distribution model can account for the differences in spatial data availability, quality, scale, and accuracy as well as the differences in cultural settlement practices. This dataset is part of the LandScan 2016 global population database. Developed for the U. S. Department of Defense. Allows for quick and easy assessment, estimation, and visualization of populations-at-risk. Oak Ridge National Laboratory. (2016). LandScan Global Population Database 2016. Oak Ridge National Laboratory, UT-Battelle, LLC. Available at: http://purl.stanford.edu/mx198zx3638. IMPORTANT: For correct population analysis using ESRI products assure that the following parameters are set:- Use ONLY Geographic, WGS84 projection parameters.- Spatial Analysis cell size is 0.008333333333333 (double precision)- Spatial Analysis extent should be set to an exact multiple of the cell size (for example 35.25, 35.50, 35.0)Converting (including on-the-fly projections) a grid to other projections or coordinate systems causes population cells to be re-sampled, and hence population counts will be incorrect.In ESRI ArcMap, load the LandScan grid first in order to maintain the original geographic (lat-lon) projection."The dataset has a spatial resolution of 30 arc-seconds and is output in a geographical coordinate system - World Geodetic System (WGS) 84 datum. The 30 arc-second cell, or 0.008333333 decimal degrees, represents approximately 1 km2 near the equator. Since the data is in a spherical coordinate system, cell width decreases in a relationship that varies with the cosine of the latitude of the cell. Thus a cell at 60 degrees latitude would have a width that is half that of a cell at the equator (cos60 = 0.5). The height of the cells does not vary. The values of the cells are integer population counts, not population density, since the cells vary in size. Population counts are normalized to sum to each sub-national administrative unit estimate. For this reason, projecting the data in a raster format to a different coordinate system (including on-the-fly projections) will result in a re-sampling of the data and the integrity of normalized population counts will be compromised. Also prior to all spatial analysis, users should ensure that extents are set to an exact multiple of the cell size (for example 35.25, 35.50, 35.0) to avoid 'shifting' of the dataset." --from the Oak Ridge National Laboratory LandScan Web site, Sept. 12, 2016. This layer is presented in the WGS84 coordinate system for web display purposes. Downloadable data are provided in native coordinate system or projection.

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  6. Title: LandScan 2018 global population database

    Contributors:

    Summary: At approximately 1 km resolution (30" X 30"), LandScan is the finest resolution global population distribution data available and represents an ambient population (average over 24 hours). The LandScan algorithm uses spatial data and imagery analysis technologies and a multi-variable dasymetric modeling approach to disaggregate census counts within an administrative boundary. Since no single population distribution model can account for the differences in spatial data availability, quality, scale, and accuracy as well as the differences in cultural settlement practices, LandScan population distribution models are tailored to match the data conditions and geographical nature of each individual country and region. Title from disk surface Developed by Oak Ridge National Laboratory.

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  7. Title: LandScan 2016 global population database

    Contributors:

    Summary: At approximately 1 km resolution (30" X 30"), LandScan is the finest resolution global population distribution data available and represents an ambient population (average over 24 hours). The LandScan algorithm uses spatial data and imagery analysis technologies and a multi-variable dasymetric modeling approach to disaggregate census counts within an administrative boundary. Since no single population distribution model can account for the differences in spatial data availability, quality, scale, and accuracy as well as the differences in cultural settlement practices, LandScan population distribution models are tailored to match the data conditions and geographical nature of each individual country and region. Title from disk surface Developed by Oak Ridge National Laboratory.

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  8. Title: LandScan Global Population Database 2017

    Contributors:

    Summary: This raster dataset contains population counts at 30 arc second resolution (1 km. or finer) for 2017. This release represents the 2017 edition of LandScan and succeeds all previous versions. Using an innovative approach with Geographic Information System and Remote Sensing, ORNL's LandScan is the community standard for global population distribution. At approximately 1 km resolution (30" X 30"), LandScan is the finest resolution global population distribution data available and represents an ambient population (average over 24 hours). The LandScan algorithm, an R&D 100 Award Winner, uses spatial data and imagery analysis technologies and a multi-variable dasymetric modeling approach to disaggregate census counts within an administrative boundary. Since no single population distribution model can account for the differences in spatial data availability, quality, scale, and accuracy as well as the differences in cultural settlement practices. This dataset is part of the LandScan 2017 global population database. Developed for the U. S. Department of Defense. Allows for quick and easy assessment, estimation, and visualization of populations-at-risk. Oak Ridge National Laboratory. (2017) LandScan Global Population Database 2017. Oak Ridge National Laboratory, UT-Battelle, LLC. Available at: http://purl.stanford.edurg696cc8418 IMPORTANT: For correct population analysis using ESRI products assure that the following parameters are set:- Use ONLY Geographic, WGS84 projection parameters.- Spatial Analysis cell size is 0.008333333333333 (double precision)- Spatial Analysis extent should be set to an exact multiple of the cell size (for example 35.25, 35.50, 35.0)Converting (including on-the-fly projections) a grid to other projections or coordinate systems causes population cells to be re-sampled, and hence population counts will be incorrect.In ESRI ArcMap, load the LandScan grid first in order to maintain the original geographic (lat-lon) projection."The dataset has a spatial resolution of 30 arc-seconds and is output in a geographical coordinate system - World Geodetic System (WGS) 84 datum. The 30 arc-second cell, or 0.008333333 decimal degrees, represents approximately 1 km2 near the equator. Since the data is in a spherical coordinate system, cell width decreases in a relationship that varies with the cosine of the latitude of the cell. Thus a cell at 60 degrees latitude would have a width that is half that of a cell at the equator (cos60 = 0.5). The height of the cells does not vary. The values of the cells are integer population counts, not population density, since the cells vary in size. Population counts are normalized to sum to each sub-national administrative unit estimate. For this reason, projecting the data in a raster format to a different coordinate system (including on-the-fly projections) will result in a re-sampling of the data and the integrity of normalized population counts will be compromised. Also prior to all spatial analysis, users should ensure that extents are set to an exact multiple of the cell size (for example 35.25, 35.50, 35.0) to avoid 'shifting' of the dataset." --from the Oak Ridge National Laboratory LandScan Web site, Sept. 12, 2017. This layer is presented in the WGS84 coordinate system for web display purposes. Downloadable data are provided in native coordinate system or projection.

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  9. Title: LandScan Global Population Database 2014

    Contributors:

    Summary: This raster dataset contains population counts at 30 arc second resolution (1 km. or finer) for 2014. Using an innovative approach with Geographic Information System and Remote Sensing, ORNL's LandScan is the community standard for global population distribution. At approximately 1 km resolution (30" X 30"), LandScan is the finest resolution global population distribution data available and represents an ambient population (average over 24 hours). The LandScan algorithm, an R&D 100 Award Winner, uses spatial data and imagery analysis technologies and a multi-variable dasymetric modeling approach to disaggregate census counts within an administrative boundary. Since no single population distribution model can account for the differences in spatial data availability, quality, scale, and accuracy as well as the differences in cultural settlement practices, There is also a layer file (lspop2014.lyr) for ArcGIS. This dataset is part of the LandScan global 2014. Developed for the U. S. Department of Defense. Allows for quick and easy assessment, estimation, and visualization of populations-at-risk. Oak Ridge National Laboratory. (2015). LandScan Global Population Database 2014. Oak Ridge National Laboratory, UT-Battelle, LLC. Available at: http://purl.stanford.edu/yj715rc4110. IMPORTANT: For correct population analysis using ESRI products assure that the following parameters are set:- Use ONLY Geographic, WGS84 projection parameters.- Spatial Analysis cell size is 0.008333333333333 (double precision)- Spatial Analysis extent should be set to an exact multiple of the cell size (for example 35.25, 35.50, 35.0)Converting (including on-the-fly projections) a grid to other projections or coordinate systems causes population cells to be re-sampled, and hence population counts will be incorrect.In ESRI ArcMap, load the LandScan grid first in order to maintain the original geographic (lat-lon) projection."The dataset has a spatial resolution of 30 arc-seconds and is output in a geographical coordinate system - World Geodetic System (WGS) 84 datum. The 30 arc-second cell, or 0.008333333 decimal degrees, represents approximately 1 km2 near the equator. Since the data is in a spherical coordinate system, cell width decreases in a relationship that varies with the cosine of the latitude of the cell. Thus a cell at 60 degrees latitude would have a width that is half that of a cell at the equator (cos60 = 0.5). The height of the cells does not vary. The values of the cells are integer population counts, not population density, since the cells vary in size. Population counts are normalized to sum to each sub-national administrative unit estimate. For this reason, projecting the data in a raster format to a different coordinate system (including on-the-fly projections) will result in a re-sampling of the data and the integrity of normalized population counts will be compromised. Also prior to all spatial analysis, users should ensure that extents are set to an exact multiple of the cell size (for example 35.25, 35.50, 35.0) to avoid 'shifting' of the dataset." --from the Oak Ridge National Laboratory LandScan Web site, Sept. 12, 2014. This layer is presented in the WGS84 coordinate system for web display purposes. Downloadable data are provided in native coordinate system or projection.

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  10. Title: LandScan 2014 World Country Boundaries

    Contributors:

    Summary: This raster dataset is a grid of world countries. These are the standard country boundaries. Also included is a DBF (countries.dbf) giving the country name for each country "number" in the grid and has demographic factors similar to the Admin1 table. This dataset is part of the LandScan global 2014. The LandScan global 2014 was developed by Oak Ridge National Laboratory (ORNL) for the United States Department of Defense (DoD). This dataset contains boundary information for understanding and analyzing population statistics. Oak Ridge National Laboratory. (2015). LandScan 2014 World Country Boundaries. Oak Ridge National Laboratory, UT-Battelle, LLC. Available at: http://purl.stanford.edu/by241fx7308. For correct population analysis using ESRI products assure that the following parameters are set: Use ONLY Geographic, WGS84 projection parameters. Spatial Analysis cell size is 0.008333333333333 (double precision) Spatial Analysis extent should be set to an exact multiple of the cell size (for example 35.25, 35.50, 35.0) Converting (including on-the-fly projections) a grid to other projections or coordinate systems causes population cells to be re-sampled, and hence population counts will be incorrect. In ESRI ArcMap, load the LandScan grid first in order to maintain the original geographic (lat-lon) projection. This layer is presented in the WGS84 coordinate system for web display purposes. Downloadable data are provided in native coordinate system or projection.

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  11. Title: LandScan 2014 global population database

    Contributors:

    Summary: At approximately 1 km resolution (30" X 30"), LandScan is the finest resolution global population distribution data available and represents an ambient population (average over 24 hours). The LandScan algorithm uses spatial data and imagery analysis technologies and a multi-variable dasymetric modeling approach to disaggregate census counts within an administrative boundary. Since no single population distribution model can account for the differences in spatial data availability, quality, scale, and accuracy as well as the differences in cultural settlement practices, LandScan population distribution models are tailored to match the data conditions and geographical nature of each individual country and region. Title from disk surface. Developed by Oak Ridge National Laboratory. "Disk 1 of 1."

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  12. Title: LandScan 2013 Level 1 World Administrative Boundaries

    Contributors:

    Summary: This raster dataset is a subdirectory containing the ArcGIS grid (world_admin1) of the countries/sub-countries. These are the standard Level 1 Administrative Boundaries. The data table (VAT) contains the cell areas in the field: [Area]. The units are square kilometers. The Value Field simply represents a row number for a specific Latitude. All cells on the same row have the same area. Cell areas are largest at the equator and smallest at the poles. Each year the models incorporate administrative boundary changes, refine the spatial precision of international and sub-national administrative boundaries, and reconcile temporal census information and administrative boundary inconsistencies. The administrative unit level by which the census data is distributed varies considerably in size and spatial precision from country to country. The number of administrative units per nation and spatial fidelity of the boundaries are considered in the model parameterization process. Nations with few, but very large administrative areas require different weights in the model parameters to allocate representative populations to their appropriate locations. Generally, smaller administrative boundaries lead to better population distribution – if the boundaries are spatially accurate. However, small administrative areas that are poorly geo-referenced or spatially characterized actually induce population distribution errors. To mitigate these errors, where possible, analysts will merge poor sub-province boundaries to the province level and distribute the entire province population according to the population likelihood locations determined by the model rather than constrict population distributions to incorrect locations. Very small administrative or enumeration areas equivalent to US census blocks or block groups have unintended consequences for modeling an ambient population. Since the populations associated with census tables are places of residence, commercial and industrial areas may have zero or very low populations associated with them. Thus the output would be reflective of a residential only population distribution instead of an ambient population distribution. This dataset is part of the LandScan global 2013. Accurate administrative boundary attributes are essential to the LandScan models since the population projections are joined to the boundaries which act as spatial controls for the population totals. The LandScan 2013 Global Population Database was developed by Oak Ridge National Laboratory (ORNL) for the United States Department of Defense (DoD). Oak Ridge National Laboratory. (2014). LandScan 2013 Level 1 World Administrative Boundaries. Oak Ridge National Laboratory, UT-Battelle, LLC. For correct population analysis using ESRI products assure that the following parameters are set: Use ONLY Geographic, WGS84 projection parameters. Spatial Analysis cell size is 0.008333333333333 (double precision) Spatial Analysis extent should be set to an exact multiple of the cell size (for example 35.25, 35.50, 35.0) Converting (including on-the-fly projections) a grid to other projections or coordinate systems causes population cells to be re-sampled, and hence population counts will be incorrect. In ESRI ArcMap, load the LandScan grid first in order to maintain the original geographic (lat-lon) projection. This layer is presented in the WGS84 coordinate system for web display purposes. Downloadable data are provided in native coordinate system or projection.

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  13. Title: LandScan 2013 World Area Grid

    Contributors:

    Summary: This raster dataset contains areas of 30 second cells. The data table (VAT) contains the cell areas in the field: [Area]. The units are square kilometers. The Value Field simply represents a row number for a specific Latitude. All cells on the same row have the same area. Cell areas are largest at the equator and smallest at the poles. This dataset is part of the LandScan global 2013.The LandScan global 2013 was developed for the U. S. Department of Defense. The data allows for quick and easy assessment, estimation, and visualization of populations-at-risk.

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  14. Title: LandScan 2013 World Country Boundaries

    Contributors:

    Summary: This raster dataset is a grid of world countries. These are the standard country boundaries. Also included is a DBF (countries.dbf) giving the country name for each country "number" in the grid and has demographic factors similar to the Admin1 table. This dataset is part of the LandScan global 2013. The LandScan global 2013 was developed by Oak Ridge National Laboratory (ORNL) for the United States Department of Defense (DoD). This dataset contains boundary information for understanding and analyzing population statistics. Oak Ridge National Laboratory. (2014). LandScan 2013 World Country Boundaries. Oak Ridge National Laboratory, UT-Battelle, LLC. For correct population analysis using ESRI products assure that the following parameters are set: Use ONLY Geographic, WGS84 projection parameters. Spatial Analysis cell size is 0.008333333333333 (double precision) Spatial Analysis extent should be set to an exact multiple of the cell size (for example 35.25, 35.50, 35.0) Converting (including on-the-fly projections) a grid to other projections or coordinate systems causes population cells to be re-sampled, and hence population counts will be incorrect. In ESRI ArcMap, load the LandScan grid first in order to maintain the original geographic (lat-lon) projection. This layer is presented in the WGS84 coordinate system for web display purposes. Downloadable data are provided in native coordinate system or projection.

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  15. Title: LandScan global 2013

    Contributors:

    Summary: At approximately 1 km resolution (30" X 30"), LandScan is the finest resolution global population distribution data available and represents an ambient population (average over 24 hours). The LandScan algorithm uses spatial data and imagery analysis technologies and a multi-variable dasymetric modeling approach to disaggregate census counts within an administrative boundary. Since no single population distribution model can account for the differences in spatial data availability, quality, scale, and accuracy as well as the differences in cultural settlement practices, LandScan population distribution models are tailored to match the data conditions and geographical nature of each individual country and region. Title from disk surface. Developed by Oak Ridge National Laboratory. "Disk 1 of 1."

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  16. Title: LandScan 2012 World Area Grid

    Contributors:

    Summary: This raster dataset contains areas of 30 second cells. The data table (VAT) contains the cell areas in the field: [Area]. The units are square kilometers. The Value Field simply represents a row number for a specific Latitude. All cells on the same row have the same area. Cell areas are largest at the equator and smallest at the poles. This dataset is part of the LandScan 2012 Global Population Database.The LandScan 2012 Global Population Database was developed for the U. S. Department of Defense. The data allows for quick and easy assessment, estimation, and visualization of populations-at-risk.

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  17. Title: LandScan Global Population Database 2013

    Contributors:

    Summary: This raster dataset contains population counts at 30 arc second resolution (1 km. or finer) for 2013. This release represents the fourteenth version of LandScan and succeeds all previous versions. Using an innovative approach with Geographic Information System and Remote Sensing, ORNL's LandScan is the community standard for global population distribution. At approximately 1 km resolution (30" X 30"), LandScan is the finest resolution global population distribution data available and represents an ambient population (average over 24 hours). The LandScan algorithm, an R&D 100 Award Winner, uses spatial data and imagery analysis technologies and a multi-variable dasymetric modeling approach to disaggregate census counts within an administrative boundary. Since no single population distribution model can account for the differences in spatial data availability, quality, scale, and accuracy as well as the differences in cultural settlement practices, There is also a layer file (lspop2012.lyr) for ArcGIS. This dataset is part of the LandScan global 2013. Developed for the U. S. Department of Defense. Allows for quick and easy assessment, estimation, and visualization of populations-at-risk. Bright, Edward A., Coleman, Phillip R., Rose, Amy N., and Oak Ridge National Laboratory. (2013) LandScan Global Population Database 2013. Oak Ridge National Laboratory, UT-Battelle, LLC. IMPORTANT: For correct population analysis using ESRI products assure that the following parameters are set:- Use ONLY Geographic, WGS84 projection parameters.- Spatial Analysis cell size is 0.008333333333333 (double precision)- Spatial Analysis extent should be set to an exact multiple of the cell size (for example 35.25, 35.50, 35.0)Converting (including on-the-fly projections) a grid to other projections or coordinate systems causes population cells to be re-sampled, and hence population counts will be incorrect.In ESRI ArcMap, load the LandScan grid first in order to maintain the original geographic (lat-lon) projection."The dataset has a spatial resolution of 30 arc-seconds and is output in a geographical coordinate system - World Geodetic System (WGS) 84 datum. The 30 arc-second cell, or 0.008333333 decimal degrees, represents approximately 1 km2 near the equator. Since the data is in a spherical coordinate system, cell width decreases in a relationship that varies with the cosine of the latitude of the cell. Thus a cell at 60 degrees latitude would have a width that is half that of a cell at the equator (cos60 = 0.5). The height of the cells does not vary. The values of the cells are integer population counts, not population density, since the cells vary in size. Population counts are normalized to sum to each sub-national administrative unit estimate. For this reason, projecting the data in a raster format to a different coordinate system (including on-the-fly projections) will result in a re-sampling of the data and the integrity of normalized population counts will be compromised. Also prior to all spatial analysis, users should ensure that extents are set to an exact multiple of the cell size (for example 35.25, 35.50, 35.0) to avoid 'shifting' of the dataset." --from the Oak Ridge National Laboratory LandScan Web site, Sept. 12, 2013.

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  18. Title: LandScan 2012 Global Population Database

    Contributors:

    Summary: This raster dataset contains population counts at 30 arc second resolution (1 km. or finer) for 2012. "Using an innovative approach with Geographic Information System and Remote Sensing, ORNL's LandScan is the community standard for global population distribution. At approximately 1 km resolution (30" X 30"), LandScan is the finest resolution global population distribution data available and represents an ambient population (average over 24 hours). The LandScan algorithm, an R&D 100 Award Winner, uses spatial data and imagery analysis technologies and a multi-variable dasymetric modeling approach to disaggregate census counts within an administrative boundary. Since no single population distribution model can account for the differences in spatial data availability, quality, scale, and accuracy as well as the differences in cultural settlement practices, LandScan population distribution models are tailored to match the data conditions and geographical nature of each individual country and region." --from the Oak Ridge National Laboratory LandScan Web site, Sept. 12, 2013. There is also a layer file (lspop2012.lyr) for ArcGIS. This dataset is part of the LandScan 2012 Global Population Database. Developed for the U. S. Department of Defense. Allows for quick and easy assessment, estimation, and visualization of populations-at-risk. Oak Ridge National Laboratory. (2013). LandScan 2012 Global Population Database. Oak Ridge National Laboratory, UT-Battelle, LLC. IMPORTANT: For correct population analysis using ESRI products assure that the following parameters are set:- Use ONLY Geographic, WGS84 projection parameters.- Spatial Analysis cell size is 0.008333333333333 (double precision)- Spatial Analysis extent should be set to an exact multiple of the cell size (for example 35.25, 35.50, 35.0)Converting (including on-the-fly projections) a grid to other projections or coordinate systems causes population cells to be re-sampled, and hence population counts will be incorrect.In ESRI ArcMap, load the LandScan grid first in order to maintain the original geographic (lat-lon) projection."The dataset has a spatial resolution of 30 arc-seconds and is output in a geographical coordinate system - World Geodetic System (WGS) 84 datum. The 30 arc-second cell, or 0.008333333 decimal degrees, represents approximately 1 km2 near the equator. Since the data is in a spherical coordinate system, cell width decreases in a relationship that varies with the cosine of the latitude of the cell. Thus a cell at 60 degrees latitude would have a width that is half that of a cell at the equator (cos60 = 0.5). The height of the cells does not vary. The values of the cells are integer population counts, not population density, since the cells vary in size. Population counts are normalized to sum to each sub-national administrative unit estimate. For this reason, projecting the data in a raster format to a different coordinate system (including on-the-fly projections) will result in a re-sampling of the data and the integrity of normalized population counts will be compromised. Also prior to all spatial analysis, users should ensure that extents are set to an exact multiple of the cell size (for example 35.25, 35.50, 35.0) to avoid 'shifting' of the dataset." --from the Oak Ridge National Laboratory LandScan Web site, Sept. 12, 2013. This layer is presented in the WGS84 coordinate system for web display purposes. Downloadable data are provided in native coordinate system or projection.

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  19. Title: LandScan 2012 Level 1 World Administrative Boundaries

    Contributors:

    Summary: This raster dataset is a subdirectory containing the ArcGIS grid (world_admin1) of the countries/sub-countries. These are the standard Level 1 Administrative Boundaries. The data table (VAT) contains the cell areas in the field: [Area]. The units are square kilometers. The Value Field simply represents a row number for a specific Latitude. All cells on the same row have the same area. Cell areas are largest at the equator and smallest at the poles. Each year the models incorporate administrative boundary changes, refine the spatial precision of international and sub-national administrative boundaries, and reconcile temporal census information and administrative boundary inconsistencies. The administrative unit level by which the census data is distributed varies considerably in size and spatial precision from country to country. The number of administrative units per nation and spatial fidelity of the boundaries are considered in the model parameterization process. Nations with few, but very large administrative areas require different weights in the model parameters to allocate representative populations to their appropriate locations. Generally, smaller administrative boundaries lead to better population distribution – if the boundaries are spatially accurate. However, small administrative areas that are poorly geo-referenced or spatially characterized actually induce population distribution errors. To mitigate these errors, where possible, analysts will merge poor sub-province boundaries to the province level and distribute the entire province population according to the population likelihood locations determined by the model rather than constrict population distributions to incorrect locations. Very small administrative or enumeration areas equivalent to US census blocks or block groups have unintended consequences for modeling an ambient population. Since the populations associated with census tables are places of residence, commercial and industrial areas may have zero or very low populations associated with them. Thus the output would be reflective of a residential only population distribution instead of an ambient population distribution. This dataset is part of the LandScan 2012 Global Population Database. Accurate administrative boundary attributes are essential to the LandScan models since the population projections are joined to the boundaries which act as spatial controls for the population totals. The LandScan 2012 Global Population Database was developed by Oak Ridge National Laboratory (ORNL) for the United States Department of Defense (DoD). Oak Ridge National Laboratory. (2013). LandScan 2012 Level 1 World Administrative Boundaries. Oak Ridge National Laboratory, UT-Battelle, LLC. For correct population analysis using ESRI products assure that the following parameters are set: Use ONLY Geographic, WGS84 projection parameters. Spatial Analysis cell size is 0.008333333333333 (double precision) Spatial Analysis extent should be set to an exact multiple of the cell size (for example 35.25, 35.50, 35.0) Converting (including on-the-fly projections) a grid to other projections or coordinate systems causes population cells to be re-sampled, and hence population counts will be incorrect. In ESRI ArcMap, load the LandScan grid first in order to maintain the original geographic (lat-lon) projection. This layer is presented in the WGS84 coordinate system for web display purposes. Downloadable data are provided in native coordinate system or projection.

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  20. Title: LandScan 2012 World Country Boundaries

    Contributors:

    Summary: This raster dataset is a grid of world countries. These are the standard country boundaries. Also included is a DBF (countries.dbf) giving the country name for each country "number" in the grid and has demographic factors similar to the Admin1 table. This dataset is part of the LandScan 2012 Global Population Database. The LandScan 2012 Global Population Database was developed by Oak Ridge National Laboratory (ORNL) for the United States Department of Defense (DoD). This dataset contains boundary information for understanding and analyzing population statistics. Oak Ridge National Laboratory. (2013). LandScan 2012 World Country Boundaries. Oak Ridge National Laboratory, UT-Battelle, LLC. For correct population analysis using ESRI products assure that the following parameters are set: Use ONLY Geographic, WGS84 projection parameters. Spatial Analysis cell size is 0.008333333333333 (double precision) Spatial Analysis extent should be set to an exact multiple of the cell size (for example 35.25, 35.50, 35.0) Converting (including on-the-fly projections) a grid to other projections or coordinate systems causes population cells to be re-sampled, and hence population counts will be incorrect. In ESRI ArcMap, load the LandScan grid first in order to maintain the original geographic (lat-lon) projection.

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