Σύγχρονα χωρικά δεδομένα - Μορφές, διαχείριση και δυνατότητες

Μπαρμπεράκης, Κωστής; Barmperakis, Kostis

dc.contributor.author	Μπαρμπεράκης, Κωστής	el
dc.contributor.author	Barmperakis, Kostis	en
dc.date.accessioned	2020-12-05T20:38:09Z
dc.date.available	2020-12-05T20:38:09Z
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/52291
dc.identifier.uri	http://dx.doi.org/10.26240/heal.ntua.19989
dc.rights	Default License
dc.subject	Σύστημα γεωγραφικών πληροφοριών	el
dc.subject	GIS	en
dc.subject	Χωρικά δεδομένα	el
dc.subject	Ανάλυση δεδομένων	el
dc.subject	Στατιστική	el
dc.subject	Μηχανική μάθηση	el
dc.subject	Spatial data	en
dc.subject	Data analysis	en
dc.subject	Statistics	en
dc.subject	Machine learning	en
dc.title	Σύγχρονα χωρικά δεδομένα - Μορφές, διαχείριση και δυνατότητες	el
dc.title	Modern spatial data, Forms, Management and capabilities	en
heal.type	bachelorThesis
heal.generalDescription	Αντικείμενο της παρούσας εργασίας είναι να περιγράψει την κατάσταση γύρω από τα χωρικά δεδομένα και τη ανάλυση χωρικών δεδομένων και να αναδείξει ότι η ύπαρξη των χωρικών δεδομένων, η ανάπτυξη της θεωρίας, η ανάπτυξη εργαλείων και τεχνικών ανάλυσης και η τεχνολογία υπολογιστών ανατροφοδοτούνται και ότι οι σωστές πρακτικές δημιουργούν ένα κύκλο θετικής ανατροφοδότησης με πολλαπλασιαστικά αποτελέσματα τόσο για τα ίδια τα τμήματα αυτού του “συστήματος” όσο και για τα πεδία εφαρμογής του.	el
heal.classification	Εφαρμοσμένα μαθηματικά	el
heal.classification	Applied mathematics	en
heal.language	el
heal.access	free
heal.recordProvider	ntua	el
heal.publicationDate	2020-02-10
heal.abstract	At the time of writing this paper, Big Data explosion has already passed, and we are now faced with the need to organize, store and manage large volumes of information. Since 1944, it has been estimated that the volume of textbooks has doubled every sixteen years (Rider, 1944). With the prevalence (as it became affordable) of digital data storage, data storage capacity from 1986 to 2007 increased by 25% per year (Hilbert & Lopez, 2011). In 1999, approximately 1.5 exabytes of data were produced worldwide without considering duplicate files (Lyman & Varian, 2000). A similar survey for 2002 estimates that data output reached 5 exabytes, with 92% being stored on magnetic media (i.e. hard drives) surpassing other media such as paper, film or optical media for the first time in history. Global output of information for the year 2008 totaled 14.7 exabytes (Bounie & Gille, 2012). From 2013 onwards, it is estimated that around 2.5 exabytes per day are produced (Siegel, 2013) and this size is expected to reach 1.7 MB per minute (Domo, 2018). Much of this information is geospatial or geospatial temporal. With modern technologies, with the integration of GPS in more and more types of devices, with the tendency to develop applications that integrate spatial data services (e.g. social media) this proportion is increasing and will continue to increase. This enormous amount of spatial information leads to the development of Theory, techniques and tools of analysis and finds applications in all human socio-economic activity. But the nature of spatial data, the fragmented way of acquisition - storage and management, the ad - hock approach to the development of tools and methods, the established practices in the field and the delay in policy making have a negative impact on the dynamics that are being developed. This dynamic is can be seen in the creation of tools that systemize spatial data analysis and can be used in the design and interpretation of complex socio-economic data with geospatial correlation. The present paper attempts to set out this framework, highlighting the problems and opportunities that arise.	el
heal.advisorName	Στεφανέας, Πέτρος	el
heal.advisorName	Stefaneas, Petros	en
heal.committeeMemberName	Καρώνη, Χρυσηίς	el
heal.committeeMemberName	Βασίλειος, Βεσκούσης	el
heal.academicPublisher	Εθνικό Μετσόβιο Πολυτεχνείο. Σχολή Εφαρμοσμένων Μαθηματικών και Φυσικών Επιστημών. Τομέας Μαθηματικών	el
heal.academicPublisherID	ntua
heal.numberOfPages	90 σ.	el
heal.fullTextAvailability	false