Grid-cell surface areas Grid-cell surface areas / Grid cell surface area per country (time-invariant) / Armenia 100m. Grid cell surface area

Armenia 100m. Grid cell surface area
Grid-cell surface areas, Armenia

The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).

Data Source: Population data sources (for the whole 2000-2020 period)
Methodology: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. "Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets". Big Earth Data (https://doi.org/10.1080/20964471.2019.1625151); modified from Santini M., Taramelli A., and Sorichetta A., 2010. "ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid". Transactions in GIS, 14(3), 351-377 (https://doi.org/10.1111/j.1467-9671.2010.01200.x).

Region : Armenia
DOI : 10.5258/SOTON/WP00652
Date of production : 2018-11-02
Recommended citation

WorldPop (www.worldpop.org - School of Geography and Environmental Science, University of Southampton; Department of Geography and Geosciences, University of Louisville; Departement de Geographie, Universite de Namur) and Center for International Earth Science Information Network (CIESIN), Columbia University (2018). Global High Resolution Population Denominators Project - Funded by The Bill and Melinda Gates Foundation (OPP1134076). https://dx.doi.org/10.5258/SOTON/WP00647

Data Files :
WorldPop develops and publishes open, high-resolution population datasets to support social, economic, and environmental development, humanitarian response, and the Sustainable Development Goals. This data is not intended, and should not be used, for purposes that discriminate against, exploit, surveil, or otherwise harm individuals or vulnerable populations; users are expected to apply it responsibly, assess the risks of their own analyses (particularly when combining it with other datasets) and are solely responsible for how they use it.

WorldPop datasets are available under the Creative Commons Attribution 4.0 International License. This means that you are free to share (copy and redistribute the material in any medium or format) and adapt (remix, transform, and build upon the material) for any purpose, even commercially, provided attribution is included (appropriate credit and a link to the licence).

WorldPop datasets derived from OpenStreetMap, Microsoft Building Footprints or Microsoft Roads Detection are available under the Open Database License (ODbL). This means you are free to share the data, provided attribution is included (appropriate credit and a link to the license). If you alter or build upon the data, you may distribute the result only under the same ODbL license.