dc.contributor.author | Μαθιουλάκης, Στέλιος | el |
dc.contributor.author | Mathioulakis, Stelios | en |
dc.date.accessioned | 2016-02-17T10:45:43Z | |
dc.date.available | 2016-02-17T10:45:43Z | |
dc.date.issued | 2016-02-17 | |
dc.identifier.uri | https://dspace.lib.ntua.gr/xmlui/handle/123456789/42011 | |
dc.identifier.uri | http://dx.doi.org/10.26240/heal.ntua.11621 | |
dc.rights | Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ελλάδα | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/gr/ | * |
dc.subject | ΓΣΠ | el |
dc.subject | Αστική διάχυση | el |
dc.subject | Κυψελοειδή αυτόματα | el |
dc.subject | Urban sprawl | en |
dc.subject | Cellular automata | en |
dc.subject | GIS | en |
dc.title | Προσομοίωση και εκτίμηση της μελλοντικής εξάπλωσης αστικών περιοχών με χρήση κυψελοειδών αυτομάτων: η περίπτωση των Μεσογείων Αττικής | el |
heal.type | bachelorThesis | |
heal.classification | Μοντέλα αστικής ανάπτυξης | el |
heal.language | el | |
heal.access | free | |
heal.recordProvider | ntua | el |
heal.publicationDate | 2015-10-09 | |
heal.abstract | This thesis reviews the effect of the urban sprawl phenomenon throughout history, given the fact that it is an intriguing subject in the research field of urban and regional planning, geography and spatial analysis. The driving force behind such scientific research endeavors is the need to forecast and assess the dynamics of urban expansion. In this frame, by combining the urban growth model SLEUTH, a Geographic Information System (GIS) and methods of digital remote sensing, the forecast and prediction of urban growth was made possible. As case study, the greater area of Eastern Attica was designated, which includes the municipalities of Pallini, Rafina-Pikermi, Spata-Artemida, Markopoulo Mesogeas, Koropi and Peania. This agglomeration of municipalities is known as Mesogia and their boundaries derived from the latest regulations of Kallikrates Project that came into force in 2011. For this cause, a variety of historical instances, covering the period between 1984 and 2015, were used as model input. During the application of the model, the effect of the two predominant calibration methods, on the outcome of the prediction phase, was examined. Additionally, the contribution of GIS to the preprocessing and managing of primordial data, such as satellite imagery and digital elevation models, was proven especially useful and definitely necessary, pointing out the benefits of such a concurrent use of a GIS and an urban growth model, such as SLEUTH. | en |
heal.advisorName | Φώτης, Γεώργιος | el |
heal.committeeMemberName | Μπακογιάννης, Ευθύμιος | el |
heal.committeeMemberName | Δάρρα, Αθανασία | el |
heal.academicPublisher | Εθνικό Μετσόβιο Πολυτεχνείο. Σχολή Αγρονόμων και Τοπογράφων Μηχανικών | el |
heal.academicPublisherID | ntua | |
heal.numberOfPages | 111 σ. | el |
heal.fullTextAvailability | true |
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