Articles | Volume 8, issue 10
https://doi.org/10.5194/gmd-8-3215-2015
https://doi.org/10.5194/gmd-8-3215-2015
Model description paper
 | 
09 Oct 2015
Model description paper |  | 09 Oct 2015

An open and extensible framework for spatially explicit land use change modelling: the lulcc R package

S. Moulds, W. Buytaert, and A. Mijic

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Cited articles

Aldwaik, S. Z. and Pontius, R. G.: Intensity analysis to unify measurements of size and stationarity of land changes by interval, category, and transition, Landscape Urban Plan., 106, 103–114, https://doi.org/10.1016/j.landurbplan.2012.02.010, 2012.
Beale, C. M., Lennon, J. J., Yearsley, J. M., Brewer, M. J., and Elston, D. A.: Regression analysis of spatial data, Ecol. Lett., 13, 246–264, https://doi.org/10.1111/j.1461-0248.2009.01422.x, 2010.
Bivand, R. S., Pebesma, E., and Gomez-Rubio, V.: Applied Spatial Data Analysis with R, 2nd Edn., Springer, NY, available at: http://www.asdar-book.org/ (last access: 28 August 2015), 2013.
Cai, Y., Judd, K. L., and Lontzek, T. S.: Open science is necessary, Nature Climate Change, 2, 299–299, 2012.
Câmara, G., Vinhas, L., Ferreira, K. R., De Queiroz, G. R., De Souza, R. C. M., Monteiro, A. M. V., De Carvalho, M. T., Casanova, M. A., and De Freitas, U. M.: TerraLib: an open source GIS library for large-scale environmental and socio-economic applications, in: Open Source Approaches in Spatial Data Handling, 247–270, Springer, 2008.
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Short summary
The contribution of lulcc is to provide a free and open-source framework for land use change modelling. The software, which is provided as an R package, addresses problems associated with the current paradigm of closed-source, specialised land use change modelling software which disrupt the scientific process. It is an attempt to move the discipline towards open and transparent science and to ensure land use change models are accessible to scientists working across the geosciences.