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Comparing support vector machines with logistic regression for calibrating cellular automata land use change models

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Land use change models enable the exploration of the drivers and consequences of land use dynamics. A broad array of modeling approaches are available and each type has certain advantages and disadvantages depending on the objective of the research. This paper presents an approach combining cellular automata (CA) model and support vector machines (SVMs) for modeling urban land use cha... https://www.globalspecialtyfoods.com/product-category/han-pipe/
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