Agricultural_Landuse2000_EU12

GENERAL INFO
Dataset Name:Agricultural_Landuse2000_EU12
Long name: Homogeneous Spatial Mapping Units for EU12 countries (New Member States) with CAPRI land use allocation
Description: Agricultural land use maps for EU12 Member States at the level of HSMUs and for the year 2000. 29 agricultrual land uses are distinguished: Barley, Citrus fruits, Durum Wheat, Floriculture, Permanent gras and grazing, Fallow land, Fruit tree and berry plantations, Maize, Olive groves, Rape and turnip rape
Disclaimer CAPRI-DynaSpat: These data were generated or collected within the framework of the CAPRI-DynaSpat project (2004-2007). The user agrees(i) to restrict the use of the data to the context of the research topic specified at the time of the application, when this application was made to access data still restricted from the public domain;(ii) not to disclose the data to other parties;(iii) not to use the data for commercial purposes;(iv) that the Intellectual Property Right remains with the Data Originator;(v) as long as feasible, to contact the Data Originator prior to any use of the data;(vi) to offer the Data Originator(s) co-authorship of any publication or communication based on CAPRI-Dynaspat data; in the event that the offer is declined or when the Data Originators cannot be contacted, Data Originators must be duly acknowledged.
Topic:boundaries;environment;geoscientificinformation;
Keywords: agriculture; HSMU; land use;
Further Information: http://afoludata.jrc.ec.europa.eu/DS_Free/AF_Agri.cfm
METHOD
Type of method: Model simulation
Methodology: Disaggregation of CAPRI land use statistics on the basis of environmental characteristics, Corine Land Cover classes, information from the LUCAS survey and FSS2000. Roughly, disaggregation is done in two steps: 1. Locally weighted binomial Logit models to estimate the probability that a crop is grown in an HSMU as a function of environmental parameters; calibration with LUCAS observations. 2. Estimation of consistent crop shares with a Bayesian Highest Posterior Density estimator. See http://www.biogeosciences.net/5/73/2008/bg-5-73-2008.html and http://www.ilr1.uni-bonn.de/agpo/rsrch/dynaspat/tp_dissaggregation_v1.gms.pdf
Uncertainty: Quality of component data applies
Quality assessment: not yet, validation of procedure done for EU15 countries
Availability: free of charge upon request
References: Leip A., Marchi G., Koeble R., Kempen M., Britz W.,and Li C. (2007): Linking an economic model for European agriculture with a mechanistic model to estimate nitrogen losses from cropland soil in Europe. Biogeosciences Discuss., 4, 2215-2278 Kempen, M., Heckelei, T., Britz, W., Leip, A., Koeble, R. , and Marchi, G.: Computation of a European Agricultural Land Use Map – Statistical Approach and Validation, Technical Paper, Bonn: Institute for Food and Resource Economics, University of Bonn, 2
CONTACT
Contact: Adrian Leip JRC-IES-CCU - EC - Joint Research Centre - Institute for Environment and Sustainability Climate Change Unit
Data owner: Adrian Leip JRC-IES-CCU - EC - Joint Research Centre - Institute for Environment and Sustainability Climate Change Unit

GENERAL INFO

Dataset Name:Agricultural_Landuse2000_EU12

Long name: Homogeneous Spatial Mapping Units for EU12 countries (New Member States) with CAPRI land use allocation

Description: Agricultural land use maps for EU12 Member States at the level of HSMUs and for the year 2000. 29 agricultrual land uses are distinguished: Barley, Citrus fruits, Durum Wheat, Floriculture, Permanent gras and grazing, Fallow land, Fruit tree and berry plantations, Maize, Olive groves, Rape and turnip rape

Disclaimer CAPRI-DynaSpat:
These data were generated or collected within the framework of the CAPRI-DynaSpat project (2004-2007). The user agrees(i) to restrict the use of the data to the context of the research topic specified at the time of the application, when this application was made to access data still restricted from the public domain;(ii) not to disclose the data to other parties;(iii) not to use the data for commercial purposes;(iv) that the Intellectual Property Right remains with the Data Originator;(v) as long as feasible, to contact the Data Originator prior to any use of the data;(vi) to offer the Data Originator(s) co-authorship of any publication or communication based on CAPRI-Dynaspat data; in the event that the offer is declined or when the Data Originators cannot be contacted, Data Originators must be duly acknowledged.

Topic:boundaries;environment;geoscientificinformation;

Keywords: agriculture; HSMU; land use;

Further Information:
http://afoludata.jrc.ec.europa.eu/DS_Free/AF_Agri.cfm

METHOD

Type of method: Model simulation

Methodology: Disaggregation of CAPRI land use statistics on the basis of environmental characteristics, Corine Land Cover classes, information from the LUCAS survey and FSS2000. Roughly, disaggregation is done in two steps: 1. Locally weighted binomial Logit models to estimate the probability that a crop is grown in an HSMU as a function of environmental parameters; calibration with LUCAS observations. 2. Estimation of consistent crop shares with a Bayesian Highest Posterior Density estimator. See http://www.biogeosciences.net/5/73/2008/bg-5-73-2008.html and http://www.ilr1.uni-bonn.de/agpo/rsrch/dynaspat/tp_dissaggregation_v1.gms.pdf

Uncertainty: Quality of component data applies

Quality assessment: not yet, validation of procedure done for EU15 countries

Availability: free of charge upon request

References:
Leip A., Marchi G., Koeble R., Kempen M., Britz W.,and Li C. (2007): Linking an economic model for European agriculture with a mechanistic model to estimate nitrogen losses from cropland soil in Europe. Biogeosciences Discuss., 4, 2215-2278
Kempen, M., Heckelei, T., Britz, W., Leip, A., Koeble, R. , and Marchi, G.: Computation of a European Agricultural Land Use Map – Statistical Approach and Validation, Technical Paper, Bonn: Institute for Food and Resource Economics, University of Bonn, 2

CONTACT

Contact: Adrian Leip
JRC-IES-CCU - EC - Joint Research Centre - Institute for Environment and Sustainability
Climate Change Unit

Data owner: Adrian Leip
JRC-IES-CCU - EC - Joint Research Centre - Institute for Environment and Sustainability
Climate Change Unit

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