| description:
|
In the distributed global GDP dataset sub-national GRP and national GDP data are allocated to 30 arc second (approximately 1km) grid cells in proportion to the population residing in that cell. The method also distinguishes between rural and urban population, assuming the latter
to have a higher GDP per capita. Input data are from
1) a global time-series dataset of GDP, with subnational gross regional product (GRP) for 74 countries, compiled by the World Bank Development Economics Research Group (DECRG).
2) Gridded population projections for the year 2009, based on a population grid for the year 2005 provided by LandScanTM Global Population Database (Oak Ridge, TN: Oak Ridge National Laboratory).
This dataset has been extrapolated to year 2010 by UNEP/GRID-Geneva.
Unit is estimated value of production per cell, in thousand of constant 2000 USD. Cell level anomalies may occur due to poor alignment of multiple input data sources, and it is strongly recommended that users attempt to verify information, or consult original sources, in order to
determine suitability for a particular application.
This product was compiled by DECRG for the Global Assessment Report on Risk Reduction (GAR). It was modeled using global data. Credit: GIS processing World Bank DECRG, Washington, DC, extrapolation UNEP/GRID-Geneva. |