Abstract
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.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Zampogno, L., Cattaneo, T. (eds.): Suolo bene commune – dalla convenzione europea del paesaggio al governo sostenibile del territorio. Legambiente Lombardia Onlus (2012)
COM/2006/0231 a firma della Commissione al parlamento Europeo, al Consiglio, al Comitato Economico e Sociale ed al Comitato delle Regioni in data 22/09/2006 “Strategia tematica per la protezione del suolo”
Agostinacchio, M., Ciampa, D., Diomedi, M., Olita, S.: The management of air pollution from vehiculartraffic by implementing forecasting models. In: Sustainability, Eco-Efficiency and Conservation in Transportation Infrastructure Asset Management - Proceedings of the 3rd International Conference on Tranportation Infrastructure, ICTI 2014, pp. 549–560 (2014)
Romano, B., Zullo, F.: Models of Urban Land Use in Europe: Assessment tools and criticalities. International Journal of Agricultural and Environmental Information Systems (IJAEIS) 4(3), 80–97 (2013), doi:10.4018/ijaeis.2013070105
Koomen, E.: Modelling Land-Use Change: Progress and Applications. Springer (2007)
Bonham-Carter, G.F.: Geographic information system for geoscientist: modelling with GIS, pp. 243–247. Pergamon Press (1994)
Smith, E.P., Lipkovich, I., Ye, K.: Weight of evidence: quantitative estimation of probabil-ity of impact. Dept. of Statistic, Virginia Tech (2002)
Romano, B., Zullo, F.: The urban transformation of Italy’s Adriatical coastal strip: Fifty years of unsustainability. Land Use Policy 38 (2014)
Perchinunno, P., Rotondo, F., Torre, C.M.: The Evidence of Links between Landscape and Economy in a Rural Park. International Journal of Agricultural and Environmental Information Systems 3(2), 72–85 (2012), doi:10.4018/jaeis.2012070105
Murgante, B., Danese, M.: Urban versus rural: the decrease of agricultural areas and the development of urban zones analyzed with spatial statistics. Int. J. Agric. Environ. Inform. Syst. 2(2), 16–28 (2011), http://dx.doi.org/10.4018/jaeis.2011070102
Modica, G., Vizzari, M., Pollino, M., Fichera, C.R., Zoccali, P., Di Fazio, S.: Spatio-temporal analysis of the urban-rural gradient structure: an application in a Mediterranean mountainous landscape (Serra San Bruno, Italy). Earth Syst. Dyn. 3(2), 263–279 (2012), http://dx.doi.org/10.5194/esd-3-263-2012
Martellozzo, F.: Forecasting high correlation transition of agricul-tural landscapes into urban areas: diachronic case study in North East-ern Italy. Int. J. Agric. Environ. Inform. Syst (IJAEIS) 3(2), 22–34 (2012), http://dx.doi.org/10.4018/jaeis.2012070102
Evaluation of Urban Sprawl from space using open source technologies
NolèG., M.B., Calamita, G., Lanorte, A., Lasaponara, R.: Evaluation of Urban Sprawl from space using open source technologies. Ecological Informatics (2014), doi: http://dx.doi.org/10.1016/j.ecoinf.2014.05.005
Nolè, G., Lasaponara, R., Lanorte, A., Murgante, B.: Quantifying Urban Sprawl with Spatial Autocorrelation Techniques using Multi-Temporal Satellite Data. Int. J. Agric. Environ. Inform. Syst. 5(2) (2014)
Clarke, K.C., Gaydos, L.: Loose-coupling a cellular automaton model and GIS: Long-term urban growth prediction for San Francisco and Washington/Baltimore. Int. J. of Geographic Inf. Sci. 12, 699–714 (1998)
Cerreta, M., Poli, G.: A Complex Values Map of Marginal Urban Landscapes: An Experiment in Naples (Italy). International Journal of Agricultural and Environmental Information Systems 4(3), 41–62 (2013), doi:10.4018/ijaeis.2013070103
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer International Publishing Switzerland
About this paper
Cite this paper
Amato, F., Pontrandolfi, P., Murgante, B. (2014). Using Spatiotemporal Analysis in Urban Sprawl Assessment and Prediction. In: Murgante, B., et al. Computational Science and Its Applications – ICCSA 2014. ICCSA 2014. Lecture Notes in Computer Science, vol 8580. Springer, Cham. https://doi.org/10.1007/978-3-319-09129-7_55
Download citation
DOI: https://doi.org/10.1007/978-3-319-09129-7_55
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-09128-0
Online ISBN: 978-3-319-09129-7
eBook Packages: Computer ScienceComputer Science (R0)