{"guid":"33229e10-d954-564b-bb6f-f48e5b5d3882","title":"gFlowiz, an open science framework to analyze and geovisualize networks and flow datasets","subtitle":null,"slug":"bucharest-205-gflowiz-an-open-science-framework-to-analyze-and-geovisualize-networks-and-flow-datasets","link":"https://talks.2019.foss4g.org/bucharest/talk/HBGDNS/","description":"Geographic flow visualization (gFlowiz) is an interdisciplinary project dedicated to flows and networks in the geoweb.\nIt is led by a team of French researchers and engineers in Geography, Cartography and Computer Science from both IFSTTAR and CNRS.\n\ngFlowiz follows the new paradigm of « visualization mapping » (MacEachren, 2004) not present in current geoweb applications.\nAll types of flows, movements and traffic in a geographical space, at several scales, are involved (migrations, freight, transportation, etc).\nRequired semiological, aesthetical and design elements offered by currently web-based graphic visualization libraries are also considered.\nIts main goal is to build a simple application combining two pillars of scientific graphical representation: flow data processing and (geo)graphical modalities visualization.\nA 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.\n\nThis presentation will follow 3 axes: open source applications in the curated corpus, an analysis of the survey and a current development status of the application\n\nNone","original_language":"eng","persons":["Nicolas Roelandt"],"tags":["bucharest","205","2019","General"],"view_count":54,"promoted":false,"date":"2019-08-28T00:00:00.000+02:00","release_date":"2019-08-29T02:00:00.000+02:00","updated_at":"2021-12-28T07:00:07.344+01:00","length":870,"duration":870,"thumb_url":"https://static.media.ccc.de/media/conferences/foss4g2019/205-hd.jpg","poster_url":"https://static.media.ccc.de/media/conferences/foss4g2019/205-hd_preview.jpg","timeline_url":"https://static.media.ccc.de/media/conferences/foss4g2019/205-hd.timeline.jpg","thumbnails_url":"https://static.media.ccc.de/media/conferences/foss4g2019/205-hd.thumbnails.vtt","frontend_link":"https://media.ccc.de/v/bucharest-205-gflowiz-an-open-science-framework-to-analyze-and-geovisualize-networks-and-flow-datasets","url":"https://api.media.ccc.de/public/events/33229e10-d954-564b-bb6f-f48e5b5d3882","conference_title":"FOSS4G 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