The importance of soil resource protection is now universally recognized, but despite a lot of debates and principles enunciation, in the last decades the soil was consumed at a rate of 8 m2 per second. In this paper a simulation model has been proposed based on two methods: Joint information uncertainty and Weights of Evidence in order to analyse and predict new built-up areas. The proposed model has been applied to Pisticci Municipality in Basilicata region (Southern Italy). This area is a significant example, because of high landscape values and, at the same time, of a lot of developing pressure due to touristic activities along the coastal zone. © 2014 Springer International Publishing.
CITATION STYLE
Amato, F., Pontrandolfi, P., & Murgante, B. (2014). Using spatiotemporal analysis in urban sprawl assessment and prediction. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8580 LNCS, pp. 758–773). Springer Verlag. https://doi.org/10.1007/978-3-319-09129-7_55
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