capri:concept:spatcrops []

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<H2><a class=“intext” HREF=“/dokuwiki/doku.php?id=capri:concept:spatialdownscaling”>Agricultural land use and environmental indicators at 1×1 km grid resolution</A><BR> - Cropping shares</H2>

Main Contributors statistical estimation and concept: Markus Kempen, Thomas Heckelei,Wolfgang Britz, Adrian Leip<BR>

Main Contributor GAMS coding: Wolfgang Britz, Markus Kempen

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<P>The <B>crop shares</B> are estimated based on locally weighted bi-nomimal regression models, using the LUCAS sample as observations,

and soil and climatic conditions, slope and altitude as explanatory variables. The forecast from the regression model and its error distribution

define the a priori distribution for the Highest Posterior Density estimator, which determines the most probable crop shares per HSMU

which simulatneously recover the crop areas reported in the Farm Structure Survey, and exhaust the area of the HSMU.</P>

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<H3>More information</H3>

<P class=“pubparagraph”><span class=“pubAuthor”>Kempen M., Heckelei T. und Britz W..</span>:<BR>

<I>A Statistical Approach for Spatial Disaggregation of Crop Production in the EU</I>

<BR>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)</p>

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<P class=“pubparagraph”><span class=“pubAuthor”>Leip, A., Marchi, G., Koeble, R., Kempen, Britz W. and Li, C.</span>:<BR>

<I><A HREF=“http://www.biogeosciences.net/5/73/2008/bg-5-73-2008.html”>Linking an economic model for European agriculture with a mechanistic model to estimate nitrogen losses from cropland

soil in Europe</A></I><BR>Biogeosciences, 5(1): 73-94</P>

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