Nicolas Roelandt

In the FOSS4G 2021 programme, the word 'notebook' appeared ten times and the word 'jupyter' ten times too in the abstracts of four workshops and four presentations. In 2022, 'jupyter' and 'notebook' appear in two workshops and two presentations abstracts. More discreetly, at least three workshops and one scientific paper used notebooks without mentioning them. As we can see, notebooks are becoming increasingly common in data science and the geospatial world. But what is a notebook? What is it useful for? What are its limitations? Are there other platforms than Jupyter? Can we do anything other than Python? What about geospatial? Are these tools FOSS? These are some of the questions that this presentation will try to answer. (TL;DR: yes!) If you have never heard of Quarto, Observable or Org-mode, this presentation is for you.

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Crowdsourced datasets starts to become common, we can cite the Wikipedia and Wikimedia projects or the OpenStreetMap database as well known examples. The UMRAE research lab collect data from thousands users around the world with its NoiseCapture application. Assess the quality of the sound spectrum recorded by hundreds of differents smartphones models is a challenge by itself and people are working on it. But in the mean time, we ask ourself if we can extract information from the tags provided by the users. This talk will present the 2017 - 2020 collection dataset, the analysis of the recordings' tags and the complete FOSS toolset we used. We will present the challenges we faced, the solutions we found and the issues we will have to mitigate in the future.

Arabesque is a FLOSS web application dedicated to flow mapping and analysis. Using web technologies, it provides tools to the user to load O/D data. The user can easily modify filters parameters or add new ones. A default symbology is proposed but the user can define is own.

Arabesque aims to provides a fast, lightweight framework to visualize and explore flow data with a special attention on graphics and symbology in order to produce beautiful and just flow maps.

This presentation will be a short presentation of the project and a quick demo of the application. It is the extension of the presentation made at FOSS4G 2019: release, code publication, updates and a live demo.

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.

Representing geographical time-space is a fundamental issue in geography, addressing core questions of the discipline, i.e. where are places and what distance separate them. Yet, considering the properties of geographical time space shaped by transport means, no satisfying cartographic representation – including classical maps and plastic space approaches – has been proposed so far. The "shriveling_world" project aims at producing images of the global geographical time-space, using the third dimension, as in time-space relief maps. The word "shriveling" was introduced by Waldo Tobler in his comments of Mathis-L'Hostis time-space relief image, in order to describe the complex contraction process suggested by the model. The FOSDEM presentation aims at opening the code to the scientific community, now that the application is close to a first functional version.