Abstract
This study uses spatial location of farms as a case of recreating context in spatial modelling of agricultural landscapes. When working with generally available agricultural structural data such as FADN data, spatial reference on farm location is not available. This means that methods to reliable recreations of spatial context must be developed. This study recreates spatial location of farms within a German and a Danish agricultural landscape where real farm locations are known, using an approach based on indexation of structural heterogeneity. The approach can be used generally since it is based on the utilisation of generally available data across the EU countries. Based on the Danish case, it is concluded that the method leads to a close to random location of farms. An additional case study carried out in Italy concludes that initial spatial location of farms is important in an area with great spatial heterogeneity like Italy, but might mean less in spatial homogenous areas like Denmark and Germany.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Beers G, Poppe KJ, Leuftink A (2001) PACIOLI 8: Innovations in the FADN. The Hague, Agricultural Economics Research Institute http://library.wur.nl/wasp/bestanden/LUWPUBRD_00313695_A502_001.pdf
Elbersen B, Kempen M, van Diepen K, Andersen E, Hazeu G, Verhoog D (2006) Protocols for Spatial Allocation of Farm Types. Wageningen, Alterra. http://www.seamless-ip.org/Reports/Report_19_PD4.7.1.pdf
Fais A, Nino P (2004) Mapping the spatial distribution of plant diseases. Proceedings of 24th Annual ESRI International User Conference, San Diego, CA, August 9–13, 2004
Fais A, Nino P, Giampaolo A (2005) Microeconomic and geophysical data integration for agri-environmental analysis, georeferencing FADN data: a case study in Italy. Paper presented at XIth seminar of the EAAE (European Association of Agricultural Economists): ‘The Future of Rural Europe in the Global Agri-Food System’, Copenhagen, Denmark, 24–27 August 2005
Irwin EG, Geoghegan J (2001) Theory, data, methods: developing spatially explicit economic models of land use change. Agriculture, Ecosystems & Environment 85: 7–24
Kjeldsen C, Dalgaard T, Osuch A, Hutchings NJ, Mouritsen AK (2005) A Framework for Upscaling from Farm to Landscape. Tjele, Danish Institute for Agricultural Sciences, Department of Agroecology
Meier B (2004) The role of cash flow indicators in understanding farm households. Paper presented at OECD Workshop on Information Needs for the Analysis of Farm Household Income Issues, Paris, France, 29–30 April 2004
Meier B (2005) ‘Organic’ sampling and weighting in farm accountancy data networks – a discussion note on standard gross margins and calibration. Proceedings of 2nd EISfOM European Seminar: Towards a European Framework for Organic Market Information, Brussels, 10–11 November 2005
van Ittersum MK, Rabbinge R, van Latesteijn HC (1998) Exploratory land use studies and their role in strategic policy making. Agricultural Systems 58: 309–330
van Latesteijn HC (1999) Land Use in Europe – A Methodology for Policy-Oriented Future Studies. The Hague, Sdu Uitgevers
WRR (1992) Ground for Choices – Four Perspectives for the Rural Areas in the European Community. The Hague, WRR – Netherlands Scientific Council for Government Policy
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2009 Springer-Verlag Berlin Heidelberg
About this chapter
Cite this chapter
Damgaard, M., Kjeldsen, C., Ungaro, F. (2009). Recreating Context in Spatial Modelling of Agricultural Landscapes. In: Piorr, A., Müller, K. (eds) Rural Landscapes and Agricultural Policies in Europe. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-79470-7_8
Download citation
DOI: https://doi.org/10.1007/978-3-540-79470-7_8
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-79469-1
Online ISBN: 978-3-540-79470-7
eBook Packages: Earth and Environmental ScienceEarth and Environmental Science (R0)