RNTI

MODULAD
Une nouvelle méthodologie de géovisualisation pour les entrepôts de données de trajectoires
In EDA 2019, vol. RNTI-B-15, pp.143-157
Abstract
The geovisualization methods integrated in OLAP systems concern only classical spatial data (points, lines and polygons). Our goal is to define a new visual analysis methodology that integrates the space-time cube, animated maps, and the pivot table to consider the data from Trajectory Data Warehouse (TDW). In addition to traditional multidimensional queries, we consider other types of queries: (1) spatio-temporal multidimensional queries that require the temporal dimension and a spatial measure; and (2) spatio-temporal thematic multidimensional queries that require also numerical measures. These two types of queries can relate to one (Mono) or several trajectories (Multi). We show the implementation of our methodology using the geo-browser (Google Earth) and the extension of pivot table (GeOLAPivot Table).