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On the generation of time-evolving regional data / T. Tzouramanis in Geoinformatica, vol 6 n° 3 (September - November 2002)  

Public [article]  inGeoinformatica > vol 6 n° 3 (September - November 2002) . - pp 207 - 231 Titre : On the generation of time-evolving regional data Type de document : Article/Communication Auteurs : T. Tzouramanis, Auteur ; M. Vissikalopoulos, Auteur ; Y. Manolopoulos, Auteur Année de publication : 2002 Article en page(s) : pp 207 - 231 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Information géographique [Termes IGN] données spatiotemporelles [Termes IGN] modèle conceptuel de données localisées [Termes IGN] repère de référence Résumé : (Auteur) Benchmarking of spatiotemporal databases is an issue of growing importance. In case large real data sets are not available, benchmarking requires the generation of artificial data sets following the realworld behavior of spatial objects that change their locations, shapes and sizes over time. Only a few innovative papers have recently addressed the topic of spatiotemporal data generators. However, all existing approaches do not consider several important aspects of continuously changing regional data. In this report, a new generator, called generator of timeevolving regional data (G-TERD), for this class of data is presented. The basic concepts that determine the function of G-TERD are the structure of complex 21) regional objects, their color, maximum speed, zoom and rotationangle per time slot, the influence of other moving or static objects on the speed and on the moving direction of an object, the position and movement of the sceneobserver, the statistical distribution of each changing factor and finally, time. Apart from these concepts, the operation and basic algorithmic issues of G-TERD are presented. In the framework developed, the user can control the generator response by setting several parameters values. To demonstrate the use of G-TERD, the generation of a number of sample data sets is presented and commented. The source code and a visualization tool for using and testing the new generator are available on the Web. Thus, it is easy for the user to manipulate the generator according to specific application requirements and at the same time to examine the reliability of the underlying generalized data model. Numéro de notice : A2002-203 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1023/A:1019705618917 En ligne : https://doi.org/10.1023/A:1019705618917 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22118 [article]

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