Spatial allocation of farming systems and farming indicators in Europe

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Standard

Spatial allocation of farming systems and farming indicators in Europe. / Kempen, Markus; Elbersen, Berien S.; Staritsky, Igor; Andersen, Erling; Heckelei, Thomas.

I: Agriculture, Ecosystems & Environment, Bind 142, Nr. 1-2, 2011, s. 51-62.

Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

Harvard

Kempen, M, Elbersen, BS, Staritsky, I, Andersen, E & Heckelei, T 2011, 'Spatial allocation of farming systems and farming indicators in Europe', Agriculture, Ecosystems & Environment, bind 142, nr. 1-2, s. 51-62. https://doi.org/10.1016/j.agee.2010.08.001

APA

Kempen, M., Elbersen, B. S., Staritsky, I., Andersen, E., & Heckelei, T. (2011). Spatial allocation of farming systems and farming indicators in Europe. Agriculture, Ecosystems & Environment, 142(1-2), 51-62. https://doi.org/10.1016/j.agee.2010.08.001

Vancouver

Kempen M, Elbersen BS, Staritsky I, Andersen E, Heckelei T. Spatial allocation of farming systems and farming indicators in Europe. Agriculture, Ecosystems & Environment. 2011;142(1-2):51-62. https://doi.org/10.1016/j.agee.2010.08.001

Author

Kempen, Markus ; Elbersen, Berien S. ; Staritsky, Igor ; Andersen, Erling ; Heckelei, Thomas. / Spatial allocation of farming systems and farming indicators in Europe. I: Agriculture, Ecosystems & Environment. 2011 ; Bind 142, Nr. 1-2. s. 51-62.

Bibtex

@article{ddf265b9448e4dd5aaba6534d1d1827e,
title = "Spatial allocation of farming systems and farming indicators in Europe",
abstract = "In this article an approach to spatially allocate farm information to a specific environmental context is presented. At this moment the European wide farm information is only available at a rather aggregated administrative level. The suggested allocation approach adds a spatial dimension to all sample farms making it possible to aggregate farm types both to natural and to lower scale administrative regions. This spatial flexibility allows providing input data to economic or bio-physical models at their desired resolution. The allocation approach is implemented as a constrained optimization model searching for an optimal match between farm attributes and spatial characteristics subject to consistency constraints. The objective functions are derived from a Bayesian highest posterior density framework. The allocation procedure recovers the spatial farm type distributions satisfactorilly thereby providing information of significant value for further analysis in a multidisciplinary context. ",
author = "Markus Kempen and Elbersen, {Berien S.} and Igor Staritsky and Erling Andersen and Thomas Heckelei",
year = "2011",
doi = "10.1016/j.agee.2010.08.001",
language = "English",
volume = "142",
pages = "51--62",
journal = "Agro-Ecosystems",
issn = "0167-8809",
publisher = "Elsevier",
number = "1-2",

}

RIS

TY - JOUR

T1 - Spatial allocation of farming systems and farming indicators in Europe

AU - Kempen, Markus

AU - Elbersen, Berien S.

AU - Staritsky, Igor

AU - Andersen, Erling

AU - Heckelei, Thomas

PY - 2011

Y1 - 2011

N2 - In this article an approach to spatially allocate farm information to a specific environmental context is presented. At this moment the European wide farm information is only available at a rather aggregated administrative level. The suggested allocation approach adds a spatial dimension to all sample farms making it possible to aggregate farm types both to natural and to lower scale administrative regions. This spatial flexibility allows providing input data to economic or bio-physical models at their desired resolution. The allocation approach is implemented as a constrained optimization model searching for an optimal match between farm attributes and spatial characteristics subject to consistency constraints. The objective functions are derived from a Bayesian highest posterior density framework. The allocation procedure recovers the spatial farm type distributions satisfactorilly thereby providing information of significant value for further analysis in a multidisciplinary context.

AB - In this article an approach to spatially allocate farm information to a specific environmental context is presented. At this moment the European wide farm information is only available at a rather aggregated administrative level. The suggested allocation approach adds a spatial dimension to all sample farms making it possible to aggregate farm types both to natural and to lower scale administrative regions. This spatial flexibility allows providing input data to economic or bio-physical models at their desired resolution. The allocation approach is implemented as a constrained optimization model searching for an optimal match between farm attributes and spatial characteristics subject to consistency constraints. The objective functions are derived from a Bayesian highest posterior density framework. The allocation procedure recovers the spatial farm type distributions satisfactorilly thereby providing information of significant value for further analysis in a multidisciplinary context.

U2 - 10.1016/j.agee.2010.08.001

DO - 10.1016/j.agee.2010.08.001

M3 - Journal article

VL - 142

SP - 51

EP - 62

JO - Agro-Ecosystems

JF - Agro-Ecosystems

SN - 0167-8809

IS - 1-2

ER -

ID: 32639768