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.
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.
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.
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.
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...).
Natural Earth is a public domain map dataset available at 1:10m, 1:50m, and 1:110 million scales. Featuring tightly integrated vector and raster data, with Natural Earth you can make a variety of visually pleasing, well-crafted maps with cartography or GIS software.
BSD 2-Clause License
Copyright (c) 2019, IFSTTAR
All rights reserved.
Source code and documentation available on Github: https://github.com/gflowiz/Glowiz-Arabesque
Share comments and issues on: https://github.com/gflowiz/Glowiz-Arabesque/issues