Overview
- Introductory CAPRI Training Session and GAMS Tutorial Announcement We are thrilled to announce that this year's Introductory CAPRI Training Session will take place from 23 to 26 September 2024. In addition, we are offering a voluntary GAMS tutorial for those with no prior experience with the GAMS modeling language, scheduled from 27 to 30 August 2024. To participate in the course, please register here. Please note that completing a self-study tutorial is a prerequisite for participating in the course. We look forward to your participation!
older News:
- CAPRI Developer Meeting 2024 The Capri Developer Meeting 2024 will take place on the 27th-28th February in Berlin (on the Campus Nord of the Humboldt University; Hannoversche Straße 27, 10115 Berlin. Haus 12. (Room 2.01)). For further information please contact: davide.pignotti@thuenen.de. The aim of the CAPRI Advanced Training Session (Developer Meeting) is to organize knowledge transfer between developers, experienced users and other participants in the form of presentations on various new developments in CAPRI. Participants will be informed about the relevance, underlying theory, data and technical implementation and will have the opportunity to discuss the new modules. Here you can find the agenda. (last update: 23/02/24)
- GAMS pre-course as part of the CAPRI online Training Session 2023 successfully completed!!! The GAMS beginners course took place from 6th-8th September. In three days, 15-20 participants learned the basics of the mathematical programming language GAMS and how it can be used to describe the supply side of CAPRI using a didactic model. (last update: 11/09/23)
- Maintenance release 2.7 and associated results are available for download. The release fixes some market model problems and uses the “new” feed distribution by default. Get the new release from this page
Impressum
Inhaltlich Verantwortlicher 10 Absatz 3 MDStV: Alexander Gocht, Bundesallee 50, D-38116 Braunschweig und Heinz-Peter Witzke, Nussallee 21, D-53115 Bonn Haftungshinweis Trotz sorgfältiger inhaltlicher Kontrolle übernehmen wir keine Haftung für die Inhalte externer Links. Für den Inhalt der verlinkten Seiten sind ausschließlich deren Betreiber verantwortlich.
Agricultural land use and environmental indicators at 1x1 km grid resolution- Cropping shares
Main Contributors statistical estimation and concept: Markus Kempen, Thomas Heckelei,Wolfgang Britz, Adrian Leip
Main Contributor GAMS coding: Wolfgang Britz, Markus Kempen
The crop shares 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.
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.:
Linking an economic model for European agriculture with a mechanistic model to estimate nitrogen losses from cropland soil in Europe
Biogeosciences, 5(1): 73-94
