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- | < | + | ===== Agricultural land use and environmental indicators at 1x1 km grid resolution- Cropping shares ===== |
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+ | Main Contributors statistical estimation and concept: Markus Kempen, Thomas Heckelei, | ||
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+ | The **crop shares** are estimated based on locally weighted bi-nomimal regression models, using the LUCAS sample as observations, | ||
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+ | ==== More information ==== | ||
+ | Kempen M., Heckelei T. und Britz W..:\\ //A Statistical Approach for Spatial Disaggregation of Crop Production in the EU//\\ in: Arfini F. (editor): Modelling Agricultural Policies: State of the Art and New Challenges, Proceedings of the 89th European Seminar of the European Association of Agricultural Economists (EAAE), Parma, Italy, Februrary 3-5, 2005 (pages 810-830) | ||
- | + | \\ Leip, A., Marchi, G., Koeble, R., Kempen, Britz W. and Li, C.:\\ //[[http:// | |
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- | Main Contributors statistical estimation and concept: Markus Kempen, Thomas Heckelei, | + | |
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- | Main Contributor GAMS coding: Wolfgang Britz, Markus Kempen | + | |
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- | and soil and climatic conditions, slope and altitude as explanatory variables. The forecast from the regression model and its error distribution | + | |
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- | define the a priori distribution for the Highest Posterior Density estimator, which determines the most probable crop shares per HSMU | + | |
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- | which simulatneously recover the crop areas reported in the Farm Structure Survey, and exhaust the area of the HSMU.</ | + | |
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- | <I>A Statistical Approach for Spatial Disaggregation of Crop Production in the EU</ | + | |
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- | European Association of Agricultural Economists (EAAE), Parma, Italy, Februrary 3-5, 2005 (pages 810-830)</ | + | |
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