URI | http://purl.tuc.gr/dl/dias/A4D5978C-652B-4A9F-8BA5-2F868359D3B3 | - |
Αναγνωριστικό | https://ieeexplore.ieee.org/document/7753395/ | - |
Αναγνωριστικό | https://doi.org/10.1109/SMAP.2016.7753395 | - |
Γλώσσα | en | - |
Μέγεθος | 6 pages | en |
Τίτλος | ViSTPro: a platform for visualization of spatiotemporal processes on Google Earth | en |
Δημιουργός | Sifakis Ioannis | en |
Δημιουργός | Σηφακης Ιωαννης | el |
Δημιουργός | Christodoulakis Stavros | en |
Δημιουργός | Χριστοδουλακης Σταυρος | el |
Δημιουργός | Moumoutzis Nektarios | en |
Δημιουργός | Μουμουτζης Νεκταριος | el |
Εκδότης | Institute of Electrical and Electronics Engineers | en |
Περίληψη | The presentation of spatiotemporal processes is a recurring theme in learning. Such processes are part of the standard curricula in subjects like geography, history, environmental education etc., as well as in professional learning tools like serious games. Learners face several difficulties in studying learning topics without strong spatiotemporal process visualization and explanation support. This paper presents an approach to tackle these problems by providing a spatiotemporal process modeling, visualization and explanation platform on top of Google Earth. The platform is based on a generic conceptual model that adapts to various types of spatiotemporal processes and enables learners to make rich inquiries in a playful manner that resembles their experiences with digital games. | en |
Τύπος | Πλήρης Δημοσίευση σε Συνέδριο | el |
Τύπος | Conference Full Paper | en |
Άδεια Χρήσης | http://creativecommons.org/licenses/by/4.0/ | en |
Ημερομηνία | 2018-06-27 | - |
Ημερομηνία Δημοσίευσης | 2016 | - |
Θεματική Κατηγορία | Google Earth | en |
Θεματική Κατηγορία | Spatiotemporal processes | en |
Θεματική Κατηγορία | Visualization | en |
Βιβλιογραφική Αναφορά | Y. Sifakis, S. Christodoulakis and N. Moumoutzis, "ViSTPro: a platform for visualization of spatiotemporal processes on Google Earth," in 11th International Workshop on Semantic and Social Media Adaptation and Personalization, 2016, pp. 117-122. doi: 10.1109/SMAP.2016.7753395 | en |