The Data Visualisation Catalogue is a project developed by Severino Ribecca to create a (non-code-based) library of different information visualisation types. The website serves as a learning and inspiration resource for those working with data visualisation. Originally, this project was a way for me to develop my own knowledge of data visualisation and create a reference tool for me to use in the future for my own work. However, I felt it would also be beneficial to both designers and also anyone in a field that requires the use of data visualisation. Each visualisation method was added bit-by-bit, as I individually researched each method, to find the best way to explain how it works and what it is best suited for.
The Graphic Continuum is a poster created by Jon Schwabish and Severino Ribecca (the man behind the Data Visualisation Catalogue). It lists almost 90 different chart types and organizes them into five large groups: distribution, time, comparing categories, geospatial, part-to-whole, and relationships. Some of them are connected across groups where there are further similarities.
Plusieurs auteurs ont essayé de synthétiser les modes de représentations visuelles sous forme d'un document unique. Un des plus réussi est la "table périodique des méthodes de visualisations".
The question I get asked most often is "What software do you use to design infographics?" Although it can be different for every project, here are links to some of the most popular sites and software applications used by designers all over the world.
Un recensement extrêmement complet des outils disponibles dans le monde pour la cartographie de l'information, la création de graphes, etc... Plus de 450 logiciels ou plate-formes au catalogue. Il y a de tout bien évidemment et certains projets ont disparus de la circulation. Mais ça permet de se faire une idée de l'intérêt que les développeurs portent depuis longtemps à ce type d'outils.
Le Mercator de la cartographie d'informations
Le projet Mindcator a pour objectif de constituer un point d'entrée dans l'univers de la cartographie d'informations et de connaissances. Il a été mené dans le cadre des projets tutorés du Master IDEMM à l'UFR IDIST (Université Lille 3).
Le site suit trois orientations majeures :
La cartographie d'informations
Une partie introductive avec une dimension essentiellement théorique
un constat sur le flou entourant les notions du domaine
quelques éléments de réflexion au sujet de la terminologie
une présentation des cartes cognitives (cartes heuristiques et conceptuelles)
Comment cartographier ?
Un parcours pédagogique sur les cartes heuristiques et conceptuelles
des conseils et méthodes pour débuter
le logiciel OpenOffice Draw pour des cartes simples
Freemind, un logiciel dédié aux cartes heuristiques
la cartographie conceptuelle avec CmapTools
Et pour s'informer
Un choix de ressources complémentaires pour approfondir le sujet
des actualités
des références bibliographiques
un glossaire
une sélection de liens
Les cartes mentales : – L’association Le Mind Mapping pour tous propose régulièrement des ateliers d’échanges de pratiques .Elle est ouverte à toute personne souhaitant découvrir ou se perfectionner en mind mapping, cartes mentales et heuristiques. – Vous pourrez y trouver des ressources de formation gratuites et rencontrer des auteurs de nombreux livres sur la visualisation des idées comme Pierre Mongin, et Luis Garcia ayant publié aux éditions Dunod, Eyrolles, et d’Organisation… Certains sont même traduits dans une ou plusieurs des 7 langues suivantes: italien, espagnol, japonais(PHPpublishing), coréen (Ji-Huyng Publishing), vietnamien(éditions Nhan Tri Viet) ,chinois… – Les membres de l’association répondent à vos demandes d’interventions – Renseignements :fichepratique (a) gmail(point) com Widgets Amazon.fr
Même si les outils de mindmapping sont de plus en plus populaires et proposent de nombreux modèles très utiles dans le cadre professionnel, ils ne suffisent souvent pas à combler les besoins de représenter des process complets, des modèles de flux et d'échanges (informatique, financiers, communication, etc...). Microsoft propose un outil compatible avec sa suite Office (VISIO) mais il est plutôt cher. Il existe une solution Open Source plus accessible et inscrite au socle des logiciels libres recommandés par l'Etat (le SILL : https://sill.etalab.gouv.fr/fr/software). Il s'agit du logiciel Draw.io (aussi connu sous le nom de Diagrams.net) https://www.diagrams.net .
L'intérêt de ce logiciel est d'être basé sur un code permettant son usage sur le web (via le navigateur https://app.diagrams.net/?src=about ) ou en version monoposte à télécharger si l'on souhaite un peu plus de confidentialité : https://github.com/jgraph/drawio-desktop/releases/tag/v14.5.1 . Le logiciel ne demande aucun droit administrateur pour fonctionner. Il suffit de télécharger la dernière version pour Windows puis le "dézipper" (en faisant un clic droit dans votre explorateur de fichier à l'endroit où vous avez enregistré le fichier à l'aide de 7zip, installé par défaut sur vos postes. A l'intérieur on trouve un fichier app-64.7z qu'il suffit de décompresser également et vous obtenez le logiciel portable prêt à fonctionner.
Le socle interministériel de logiciels libres (SILL) est le catalogue de référence des logiciels libres recommandés par l'Etat pour toute l'administration.
Ce catalogue aide les administrations à s'y retrouver dans les logiciels libres qu'elles sont encouragées à utiliser, suivant l'article 16 de la loi pour une République numérique :
« Les administrations mentionnées au premier alinéa de l'article L. 300-2 du code des relations entre le public et l'administration veillent à préserver la maîtrise, la pérennité et l'indépendance de leurs systèmes d'information. Elles encouragent l'utilisation des logiciels libres et des formats ouverts lors du développement, de l'achat ou de l'utilisation, de tout ou partie, de ces systèmes d'information. »
Il est publié par la mission logiciels libres de la (DINUM) sur le site code.gouv.fr/sill. Il est construit de façon collaborative par une communauté d'agents publics qui se proposent comme référents, experts techniques ou non, ou se déclarent utilisateurs. Ces agents publics peuvent être des agents des trois fonctions publiques : d'État, hospitalière et territoriale.
"Functional visualizations are more than innovative statistical analyses and computational algorithms. They must make sense to the user and require a visual language system that uses colour, shape, line, hierarchy and composition to communicate clearly and appropriately, much like the alphabetic and character-based languages used worldwide between humans."
Matt Woolman
Digital Information Graphics
Goal
VisualComplexity.com intends to be a unified resource space for anyone interested in the visualization of complex networks. The project's main goal is to leverage a critical understanding of different visualization methods, across a series of disciplines, as diverse as Biology, Social Networks or the World Wide Web. I truly hope this space can inspire, motivate and enlighten any person doing research on this field.
Not all projects shown here are genuine complex networks, in the sense that they aren’t necessarily at the edge of chaos, or show an irregular and systematic degree of connectivity. However, the projects that apparently skip this class were chosen for two important reasons. They either provide advancement in terms of visual depiction techniques/methods or show conceptual uniqueness and originality in the choice of a subject. Nevertheless, all projects have one trait in common: the whole is always more than the sum of its parts.
How it started
The idea for this endeavor started on my second year MFA program at Parsons School of Design. During this period I conducted extensive research on the visualization of complex networks, which culminated with my thesis project Blogviz: Mapping the dynamics of information diffusion in Blogspace. One thing I found while exploring this area was the lack of an integrated and extensive resource on this subject. This is the main reason why this project came to life.
Later on, as a teaching assistant of Information Architecture at Parsons Design+Technology program, together with Christopher Kirwan, I was able to consolidate most of this research as part of an independent study. The key chunk of projects shown here was gathered during this phase. My ultimate goal is to keep adding new projects to a still undetermined limit. VisualComplexity.com was launched in October, 2005.
Complex Networks
Complexity is a challenge by itself. Complex Networks are everywhere. It is a structural and organizational principle that reaches almost every field we can think of, from genes to power systems, from food webs to market shares. Paraphrasing Albert Barabasi, one of the leading researchers in this area, “the mystery of life begins with the intricate web of interactions, integrating the millions of molecules within each organism”. Humans, since their birth, experience the effect of networks every day, from large complex systems like transportation routes and communication networks, to less conscious interactions, common in social networks.
Scale-Free networks, one of the most common topology in either natural or human systems, is curiously enough, a very recent breakthrough. Since its discovery, in 1999, dozens of researchers worldwide have been disentangling the networks around us at an amazing rate. This awareness is helping us understand not only the world around us but also the most intricate web of interactions that shape the human body. The global effort of constructing a general theory of complexity is tremendous and may lead us, not only to a structural understanding of networks, but to major improvements in stability, robustness and security of most complex systems around the globe. Like Barabasi refers in Linked, “Once we stumble across the right vision of complexity, it will take little to bring it to fruition. When that will happen is one of the mysteries that keeps many of us going”.
About the author
A Fellow of the Royal Society of Arts, nominated by Creativity magazine as "one of the 50 most creative and influential minds of 2009", Manuel Lima is a designer, researcher, teacher, and founder of VisualComplexity.com - A visual exploration on mapping complex networks.
With over 10 years of experience designing digital products, Manuel has worked for Microsoft, Nokia, R/GA, and Kontrapunkt. He holds a BFA in Industrial Design and a MFA in Design & Technology from Parsons School of Design, New York. During the course of the MFA program, Manuel worked for Siemens Corporate Research Center, the American Museum of Moving Image and Parsons Institute for Information Mapping in research projects for the National Geo-Spatial Intelligence Agency.
Manuel is a leading voice on information visualization and has spoken in numerous conferences, schools and festivals around the world, including TED, Lift, OFFF, Eyeo, Ars Electronica, IxDA Interaction, Harvard, MIT, Royal College of Art, NYU Tisch School of the Arts, ENSAD Paris, University of Amsterdam, MediaLab Prado Madrid. He has also been featured in various magazines and newspapers, such as Wired, New York Times, Science, BusinessWeek, Creative Review, Fast Company, Forbes, Eye, Grafik magazine, SEED, Étapes, and El País. For a complete list of talks, click here.
This looks pretty neat, especially since Wikidata currently has over 947 million triples in their data store. Since battles usually have a place and a date, it would be nice to import this data into a data design in nodegoat and visualise these battles through time and space (diachronic geospatiality ftw).
This Technical Report describes a Concept Map (CMap) Knowledge Model (KM) of intelligence analysis developed at DRDC Toronto. The CMap KM consists of a number of interlinked CMaps and over 100 additional resources (such as text documents, images, Internet links, etc.), organized into an interactive hyperlinked system, which serves as a resource depository and provides an easy access to relevant material. The CMap KM captures the research team’s conceptual understanding of various issues relevant to intelligence analysis and brings together a number of pertinent topics. The authors’ aspiration for this CMap KM is that it might serve as a springboard for further development of concepts essential to intelligence analysis and as a foundation for an intelligence analysis education program.
The evolution of the international security environment requires that intelligence services be tailored in a way so they respond coherently, efficiently and in time to threats. The changes must not only focus on how intelligence structures act, but also on how intelligence analysts operate. Mind maps are the proper tools designed to shed light on complicated issues and to find creative solutions to extremely complex problems.
The purpose of this paper is to highlight the benefits of developing heuristic thinking in the information analysis process and to explain why intelligence analysts should use more frequently this technique.
Although heuristic schemes may initially seem to be a method of little relevance in the field of intelligence, this article aims to prove the exact opposite.
Keywords: mind maps; intelligence analysis; intelligence; information; crisis; analysis.