Import

Load your flow data and nodes data to visualise it. It can be CSV, JSON or GEOJSON
If you do not have a node, preload files are provided following international codes (ISO3, INSEE, NUTS ...)

Explore

Save the map as a zip file for a future exploration !
Or export it as a png to add it to presentation !

Export

Save the map as a zip file for a future exploration !
Or export it as a png to add it to presentation !

London Bike Traffic

This map is the flow of bicycle in the town of London. it's the perfect example to brush data and filters to explore and try to understand the resident commuting.

Swiss Migration

Europe commercial exchanges

A visualisation of ressouce exchanges between five european countries from the 80's. This example show how use date and category filters in Arabesque for explore flows.

Funding

The project is funded by IFSTTAR's scientific direction, with the participation of the Projet federateur Mobilities and numeric transitions. It is also supported by the research group GDR Magis through the GEOWEB prospective action.

Contributors

• Thomas Bapaume : Développement & Conception
• Etienne Côme : Développement & Conception
• Françoise Bahoken, Etienne Côme et Laurent Jégou : Responsabilité scientifique, conception et coordination

Project

The gFlowiz initiative supports on the web design of a geo visualization application for flow or traffic data to analyze the geographical determinants of spatial mobility. To this end, it aims to allow data describing geographical interactions to be explored and represented graphically, from different points of view, by focusing on spatial scale issues specific to certain data sets (the world scale or local scale) and their temporality.

Objectives

The challenge of gFlowiz therefore consists in offering a set of tools for the analysis and representation of complex geographical interaction matrices (categorical and temporal), which is innovative in terms of methodology (articulation of several dimensions, interactivity, animation), techniques (ease of exploration, fluidity of the display, etc.) in a simple configuration facilitating their appropriation by different audiences (academic, institutional, socio-economic, educational...).

Team

• Françoise Bahoken, geographer, Research scientist, IFSTTAR
• Etienne Côme, computer scientist,Research scientist,IFSTTAR
• Laurent Jégou, geographer, teacher-researcher, Université Toulouse 2 / UMR 5193 LISST
• Grégoire Le Campion, statistical engineer (UMR Passages, Bordeaux)
• Marion Maisonobe, geographer, Research scientist CNRS, UMR Géographie-Cités
• Alain Nguyen, geomatics student, Université Paris 8 (2018-2019)
• Thomas Bapaume, data scientist student, ESIEE Paris (2018-2019)
• Nicolas Roelandt, geomatics engineer, IFSTTAR