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The creation of a national agricultural land use dataset: combining pycnophylactic interpolation with dasymetric mapping techniques.

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posted on 2009-12-03, 16:30 authored by Alexis J. Comber, C. Proctor, S. Anthony
Agricultural Census data is summarised over spatially course reporting units for reasons of farm confidentiality. This is problematic for research at a local level. This paper describes an approach combining dasymetric and volume preserving techniques to create a national land use dataset at 1km2 resolution. The results for an English county are compared with contemporaneous aggregated habitat data. The results show that the accurate estimates of local agricultural land use (Arable and Grass) patterns can be estimated when individual 1km squares are combined into blocks of >9 squares, thereby providing local estimates of agricultural land use. This in turn allow more detailed modelling of land uses related to specific livestock and cropping activities. The dataset created by this work has been subject to extensive external validation through its incorporation into a number of other national models: nitrate leaching (e.g. MAGPIE, NEAP-N), waste and pathogen modelling related to agricultural activity.

History

Citation

Transactions in GIS, 12(6): 775–791.

Published in

Transactions in GIS

Publisher

Wiley-Blackwell

issn

1361-1682

Available date

2009-12-03

Publisher version

http://onlinelibrary.wiley.com/doi/10.1111/j.1467-9671.2008.01130.x/abstract

Notes

The definitive version is available at www3.interscience.wiley.com

Language

en

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