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capri:concept:spatcrops [2011/04/12 09:29] – created gochtcapri:concept:spatcrops [2011/04/12 09:30] – external edit 127.0.0.1
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 +<H2><a class="intext" HREF="/dokuwiki/doku.php?id=capri:concept:spatialdownscaling">Agricultural land use and environmental indicators at 1x1 km grid resolution</A><BR> - Cropping shares</H2>
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 +Main Contributors statistical estimation and concept: Markus Kempen, Thomas Heckelei,Wolfgang Britz, Adrian Leip<BR>
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 +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,
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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.</P>
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 +<P><a href="images\ARABShare.jpg"><img style="text-decoration: none;border: none;color: white" src="images\ArabShare.jpg" width="400px"/></a></P>
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 +<P><img src="images\HDP_EST.jpg" width="600"></P>
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 +<H3>More information</H3>
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 +<P class="pubparagraph"><span class="pubAuthor">Kempen M., Heckelei T. und Britz W..</span>:<BR>
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 +<I>A Statistical Approach for Spatial Disaggregation of Crop Production in the EU</I>
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 +<BR>in: Arfini F. (editor): Modelling Agricultural Policies: State of the Art and New Challenges, Proceedings of the 89th European Seminar of the
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 +European Association of Agricultural Economists (EAAE), Parma, Italy, Februrary 3-5, 2005 (pages 810-830)</p>
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 +<BR>
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 +<P class="pubparagraph"><span class="pubAuthor">Leip, A., Marchi, G., Koeble, R., Kempen, Britz W. and Li, C.</span>:<BR>
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 +<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
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 +soil in Europe</A></I><BR>Biogeosciences, 5(1): 73-94</P>
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