Abstract
Sleuth is a cellular automaton model of urban growth and land use change. The model uses two tightly coupled cellular automata models, one for urban growth and the second for land use change. It includes self-modification of control parameters, and has a self-calibrating capacity built into the computer code for the model. Over a decade of model development, refinement, sensitivity testing and experiment has now gone into the model, and Sleuth has accumulated over 100 applications in the USA and worldwide. In this chapter, the theme of why the land use component of the model has been less applied and tested than the urban growth part is examined. The impact of the inclusion of land use in the model on the processes involved is discussed. Two revisions of the model are thought desirable beyond additional testing: one allowing land transition probabilities to change as a function of time, and one allowing change within urban areas.
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Clarke, K.C. (2008). Mapping and Modelling Land Use Change: an Application of the SLEUTH Model. In: Pettit, C., Cartwright, W., Bishop, I., Lowell, K., Pullar, D., Duncan, D. (eds) Landscape Analysis and Visualisation. Lecture Notes in Geoinformation and Cartography. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-69168-6_17
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DOI: https://doi.org/10.1007/978-3-540-69168-6_17
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