Global_gridded_agricultural_GDP (Map Service)
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Service Description: Following the composite structure of AgGDP, we disaggregate the national and subnational statistics into a global grid through a cross-entropy allocation model. Given the limited availability of data and the global scope of the study, we made various efforts to adjust official statistics and create priors for different components based on the available data. In the journal article, we discuss the construction of each component, AgGDP statistics and the allocation model followed by the global natural hazard data. Given the spatial resolution and year of reference of the input data for the crop value of production, we estimate AgGDP for the year 2010 into 5 arcmin grids (10×10 km) across the world.
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Description: Following the composite structure of AgGDP, we disaggregate the national and subnational statistics into a global grid through a cross-entropy allocation model. Given the limited availability of data and the global scope of the study, we made various efforts to adjust official statistics and create priors for different components based on the available data. In the journal article, we discuss the construction of each component, AgGDP statistics and the allocation model followed by the global natural hazard data. Given the spatial resolution and year of reference of the input data for the crop value of production, we estimate AgGDP for the year 2010 into 5 arcmin grids (10×10 km) across the world.
Copyright Text: IFPRI and World Bank: Global Gridded Agricultural Gross Domestic Product (AgGDP) [data set], https://doi.org/10.57966/0j71-8d56, 2022. Ru, Y. and Blankespoor, B., Wood-Sichra, U., Thomas, T. S., You, L., & Kalvelagen, E. (2023). Estimating local agricultural gross domestic product (AgGDP) across the world. Earth System Science Data, 15(3), 1357-1387.
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Document Info: - Title: Global gridded agricultural GDP
- Author: bblankespoor_wb
- Comments:
- Subject: The global high resolution gridded Agricultural GDP (corresponding to "agriculture, forestry, and fishing, value added" in World Development Indicators, henceforth AgGDP, dataset at approximately 10x10 km is the result of a data fusion method based on cross-entropy optimization. We disaggregate national and subnational administrative statistics of Agricultural GDP (circa 2010) into the global gridded dataset at using satellite-derived indicators of the components that make up agricultural GDP, namely crop, livestock, fishery, hunting and timber production. The data resources include the gridded global estimates at approximately 10x10 km.
- Category:
- Keywords: agriculture, GDP