Arabesque: a geographic flow visualization application

Geographic flow visualization (gFlowiz) is an interdisciplinary project dedicated to flows and networks in the geoweb. It is led by a team of French researchers and engineers in Geography, Cartography and Computer Science from both IFSTTAR and CNRS. A state of the art on current issues of flows and movement analysis on the geoweb has been produced through the compilation of around 70 applications in a thematic dashboard, and a 200 respondants survey on flow map usages and needs has been realized. The results of this were combined to create the specifications of the Arabesque application. Arabesque is a FLOSS web application dedicated to flow mapping and analysis. Using web technologies, it provides tools to the user to load Origin/Destination data in robust and well documented formats (CSV or geojson). Arabesque will display the most significant data at launch but the user can easily modify filters parameters or add new ones on nodes and/or links. A default symbology is proposed but color scales, size, transparency and shape of objects can be modified as well. Arabesque aims to provides a fast, lightweight framework to visualize and explore flow data. A special attention has been provided on graphics and use of correct symbology in order to produce beautiful and just flow maps. This presentation will be a short presentation of the Gflowiz project and a quick demo of the Arabesque application. Speaker bio Nicolas Roelandt works at the IFSTTAR research institute as a GIS engineer. He is an OSGeo charter member and an OSGeoLive PSC member. Françoise Bahoken is researcher in geography at the IFSTTAR research institute. Her subject is flow and movements geographical patterns through cartography Laurent Jégou is a cartographer and geographer at the Toulouse-Jean Jaurès University Marion Maisonobe is a geographer at the CNRS research institute. She studies scientific networks and their geography. Etienne Côme is researcher at the IFSTTAR research institute. His research interests include probabilistic graphical models, data-science and visualisation and their use to solve transportation problems. Grégoire Le Campion works at the [CNRS research institute] (http://http://www.passages.cnrs.fr/) as a data science/statistical engineer.