Abstract
Land-use modelling and spatial scenarios have gained increased attention as a means to meet the challenge of reducing uncertainty in the spatial planning and decision-making. Several organisations have developed software for land-use modelling. Many of the recent modelling efforts incorporate cellular automata (CA) to accomplish spatially explicit land-use change modelling. Spatial interaction between neighbour land-uses is an important component in urban cellular automata. Nevertheless, this component is calibrated through trial-and-error estimation. The aim of the current research project has been to quantify and analyse land-use neighbourhood characteristics and impart useful information for cell based land-use modelling. The results of our research is a major step forward, because we have estimated rules for neighbourhood interaction from really observed land-use changes at a yearly basis. This higher temporal granularity gives a more realistic foundation for estimating neighbourhood interaction rules to be applied in for example land-use cellular automata.
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
Preview
Unable to display preview. Download preview PDF.
References
Barredo J.I., Kasanko, M., McCormick, N. and Lavalle, C. Modelling dynamic spatial processes: Simulation of urban future scenarios through cellular automata. Landscape and Urban Planning, vol. 64, pp. 145-160. (2003)
Batty, M.: Urban evolution on the desktop: simulation with the use of extended cellular automata. Environment and Planning A, vol. 30, pp. 1943-1967, (1998)
Christaller, W.: Central Places of Southern Germany (Edition 1966). Prentice Hall, London, (1933)
Daugbjerg, P. and Hansen, K.V. Property Data. The Danish National Survey and Cadastre. Copenhagen, 2000. (in Danish) (2000)
Engelen, G., White, R. and Uljee, I. (2002). The MURBANDY and MOLAND models for Dublin. Final report, RIKS, 2002.
Hagoort, M., Geertman & Ottens, H. Spatial externalities, neighbourhood rules and CA land-use modelling. Annals of Regional Science. Special Issue. (2008)
Hansen, H.S.: An Adaptive Land-use Simulation Model for Integrated Coastal Zone Planning, Lecture Notes in Geoinformation and Cartography, The European Information Society, pp. 35 – 53. (2007a)
Hansen, H. S.: LUCIA – a tool for land use change impact analysis. In (Eds. Bjørke, J.T. & Tveite, H) Proceedings ScanGIS’2007. The 11 th Scandinavian Research Conference on Geographical Information Science. 5 - 7 September 2007, Ås, Norway. pp. 157 – 168. (2007b)
Kok, K. and A. Veldkamp. “Evaluating impact of spatial scales on land use pattern analysis in Central America.” Agriculture, Ecosystems and Environment, vol.85, pp. 205-221. (2001)
Krugman, P.: The role of geography in development. International Regional Science Review vol. 22, pp. 142-161, (1999)
Mandelbrot, B.B.: The fractal geometry of nature. New York, NY: W.H. Freeman and Company, (1983).
O’Sullivan, D. & Torrens, P.M.: Cellular models of urban systems. CASA Working Paper 22. University College London, Centre for Advanced Spatial Analysis. (2000)
Shannon, C., & Weaver, W.: The mathematical theory of communication. Urbana: Univ. Illinois Press, (1964).
Straatman, B., White, R. & Engelen, G: Towards an Automatic Calibration Procedure for Constrained Cellular Automata, Computers, Environment and Urban Systems, vol. 28, pp.149-170, (2004)
Torrens P.M. How cellular models of urban systems work: 1. Theory. Centre for Advanced Spatial Analysis, University College London, Paper 28, (2000)
Veldkamp, A. and Lambin, E.F. Predicting land-use change. Editorial. Agriculture Ecosystems and Environment, vol. 85, pp. 1 – 6. (2001)
Verburg PH, de Nijs TCM, van Ritsema Eck J, Visser H, de Jong K.: A method to analyse neighbourhood characteristics of land use patterns. Computers Environment Urban Systems, vol. 28, pp. 667–690, (2004)
Verburg, P.H., Soepboer, W., Veldkamp, A., Limpiada, R., Espaldon, V. and Mastura, S. Modelling the spatial dynamics of regional land use: The CLUE-S model. Environmental Management, vol. 30, pp. 391 – 405. (2002)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2008 Springer-Verlag Berlin Heidelberg
About this chapter
Cite this chapter
Hansen, H.S. (2008). Quantifying and Analysing Neighbourhood Characteristics Supporting Urban Land-Use Modelling. In: Bernard, L., Friis-Christensen, A., Pundt, H. (eds) The European Information Society. Lecture Notes in Geoinformation and Cartography. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-78946-8_15
Download citation
DOI: https://doi.org/10.1007/978-3-540-78946-8_15
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-78945-1
Online ISBN: 978-3-540-78946-8
eBook Packages: Earth and Environmental ScienceEarth and Environmental Science (R0)