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Visual Literacy

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+ Other Cartographies, Kiara Marina Firpi Carrión - The Learned Pig. How can we make visible something that has been invisible for so long?

+ Other Cartographies, Kiara Marina Firpi Carrión - The Learned Pig

+ Other Cartographies makes visible the invisible. The recompilation of histories of female cartographers is a challenge since most of them have been erased from History. As a graduate in architecture, my fascination with cartography started when I was in my second year of university. A professor introduced me to the term, ‘psychogeography’. In Guy Debord’s words, it means the study of the precise laws and specific effects on the geographical environment, consciously organized or not, on the emotions and behaviours of individuals. The first map that I found was by the indigenous Shanawdithit (Canada, 1801). This alternative approach, which takes into account the female’s body, cares, affections, emotions, and other elements on a map traditionally not taken into account, is what persuades me to keep researching about the deconstruction of maps. Data Visualization and the Modern Imagination - Spotlight at Stanford.

There is a magic in information graphics.

Data Visualization and the Modern Imagination - Spotlight at Stanford

Maps float you above the land for a bird’s eye view. Timelines arrange memories on the page for all to see. Diagrams reveal the parts inside without requiring disassembly, or incision.* ❡ Data visualization leapt from its Enlightenment origins and into the minds of the general public in the 1760s. An Interactive Display Color-Codes Hundreds of Historical Mineral Illustrations. Making ‘Dive into Color’ Guest post by Olivia Vane ‘Dive into Color’ is an interactive timeline for exploring the Cooper Hewitt collection by colour/colour harmony and time.

Making ‘Dive into Color’

It is exhibited in ‘Saturated: The Allure and Science of Color’ 11 May 2018 – 13 Jan 2019. Since spending time at Cooper Hewitt last year on a fellowship, I returned to London where I’m a PhD student at Royal College of Art (RCA) in Innovation Design Engineering supervised by Professor Stephen Boyd Davis. At Cooper Hewitt, I developed a prototype timeline tool for visualising the museum collection by tags.

Simple tools for mastering color in scientific figures. Call me a procrastinator but I strongly believe that spending time to select a good color scheme can work miracles with a plot, paper, or presentation.

Simple tools for mastering color in scientific figures

In science, it’s generally not expected that you invest time into a thought process on something like aesthetics. I would dare to go as far as to say that it’s sometimes outright frowned upon if you do. Like if you were less of a scientist for caring if the plot design is good, just as its numbers are. Needless to say, aesthetics is very subjective and if you do like bright yellow letters on blue background, I can do nothing but secretly roll my eyes. No offense. This video explains some of the reasons why understanding color is important and how to mix colors in the right way. This cross-section was the genius of the much under-rated Thomas Webster (1782-1844) who visualised and drew it - Buckland added the fossils. Webster was a gifted artist and the first to correlate strata of southern England with the continent using fossil. Complexity Explorables. CellPAINT: Interactive Illustration of Dynamic Mesoscale Cellular Environments.

PDB-101: Goodsell Gallery. I’m proud to announce that @BioRender (a project my team & I have poured our hearts into for 2 yrs) has 200K+ figures by 95K+ scientists □□‍□□‍□! We built this so you could stop struggling to make figures in PPT □ Also, the base version is free, forev. Viz resources. Imsc-visual-essay. Tennessee-North Carolina. - Great Smoky Mountains. Rights assessment is your responsibility.

Tennessee-North Carolina. - Great Smoky Mountains

The maps in the Map Collections materials were either published prior to 1922, produced by the United States government, or both (see catalogue records that accompany each map for information regarding date of publication and source). The Library of Congress is providing access to these materials for educational and research purposes and is not aware of any U.S. copyright protection (see Title 17 of the United States Code) or any other restrictions in the Map Collection materials.

Note that the written permission of the copyright owners and/or other rights holders (such as publicity and/or privacy rights) is required for distribution, reproduction, or other use of protected items beyond that allowed by fair use or other statutory exemptions. Responsibility for making an independent legal assessment of an item and securing any necessary permissions ultimately rests with persons desiring to use the item.

Cartography Playground. Computer Vision Course at Stanford. Your Friendly Guide to Colors in Data Visualisation. ImageSeeking for Fantastic Visual Metaphors. TeachingToSee. "What an extraordinary film!

TeachingToSee

It is simply exquisite, in its pacing, content, narrative arc, photography. " Ric Grefé Executive Director, AIGA "A great story beautifully told. " Ken Carbone Chief Creative Director, Carbone Smolan Agency “This film is absolutely beautiful. The Top Trends in Data Visualization for 2018 – CARTO – Medium. Plotting the Course Through Charted Waters. Introduction Heat maps, stacked area plots, mosaic plots, choropleths – oh my!

Plotting the Course Through Charted Waters

There are so many different ways to visually convey relationships and patterns in data! In this workshop on data visualization literacy, you’ll learn to recognize many popular types of charts and how to glean insights from them. The Appendix contains some examples of data visualization as visual essays and it also includes links to resources for learning how to create your own. This workshop is available as open source. Common visualizations. Uli Westphal. Elephas Anthropogenus After the fall of the Roman Empire, elephants virtually disappeared from Western Europe.

Uli Westphal

Since there was no real knowledge of how this animal actually looked, illustrators had to rely on oral and written transmissions to morphologically reconstruct the elephant, thus reinventing an actual existing creature. This tree diagram traces the evolution of the elephant depiction throughout the middle ages up to the age of enlightenment. TeachingToSee. Dots vs. polygons: How I choose the right visualization. Inside Science Resources - Accueil. Untitled. Module: eikones - Bildkritik. Robert Kosara on Data Visualization. MITP on Nautilus: Drawing Physics. The death of interactive infographics? – Startup Grind – Medium. Teaching — Enrico Bertini. I have taught Information Visualization at NYU Tandon every year since 2012.

Teaching — Enrico Bertini

The course focuses on how to design, develop and evaluate interactive data visualization solutions for complex data analysis problems. This page links to material I developed for the course. Feel free to use it in your course or to study visualization on your own. Lecture Slides. Julia Buntaine: Visualizing science: bridging the science-art gap. A History of DataViz – info we trust. After examining the history of data visualization greats I have decided to collect my learnings in the style of history’s data visualization greats.

A History of DataViz – info we trust.

The first of these visual summaries is presented and discussed below. You can explore the entire series here. A map to guide you through the early developments of data visualization, including cartoons of 84 key charts, in the style of John Ogilby’s 1675 Road Atlas. Plant Image Analysis - Software. What Causes the Smell of New & Old Books? Everyone’s familiar with the smell of old books, the weirdly intoxicating scent that haunts libraries and second-hand book stores.

Similarly, who doesn’t enjoy riffling through the pages of a newly purchased book and breathing in the crisp aroma of new paper and freshly printed ink? As with all aromas, the origins can be traced back to a number of chemical constituents, so we can examine the processes and compounds that can contribute to both. As far as the smell of new books goes, it’s actually quite difficult to pinpoint specific compounds, for a number of reasons. Vintage InfoPorn No.1. My conceit, when I started making infographics, was simple. I believed this was a *new way* of expressing and visualizing information, a thoroughly modern and zeitgeisty fusion of data and design. Oh you muppet David… These infographics were created by students of American African-American activist W.E.Dubois in 1902. They’re so modern looking! Right down to the type. History of Graphic Design. The Surprising History of the Infographic. This colorful 1895 map made by the U.S. Geological Survey of #Tennessee and #NorthCarolina also shows cross sections of the underlying terrain! Check it out closer here.

5 Tips for Learning to Code for Visualization. There are many click-and-play software programs, solutions, and tools to help you visualize your data. They can be super helpful and you can get a lot done without a single line of code. However, being able to code your own visualization carries its own benefits like flexibility, speed, and complete customization. It’s fun — once you know what you’re doing. And that’s the kicker. It takes time to learn to program, and most of us don’t have the minutes to spare. Here are some tips to get you started, based on my own experiences with R, and more recently, the JavaScript library d3.js. Use the software you’re most comfortable with Learning to code for visualization doesn’t mean abandoning the tools you’re already familiar with. The Power of Looking Closely. At least in the US, it’s the start of a long holiday weekend, and elsewhere there are things like the Euros and Brexit to distract people from the internet, alas.

39 studies about human perception in 30 minutes. The Trials and Tribulations of Data Visualization for Good. Visualization as Process, Not Output. Diagramism. Data Visualization With Knoema. Sketching with Data Opens the Mind’s Eye — Accurat studio. Beautiful Reasons — Accurat studio. Learning to See: Visual Inspirations and Data Visualization — Accurat studio. As Brainpickings points out, some interesting patterns emerge from this dense piece: “Japan, held as a paragon of technological innovation, actually attracts very few foreign researchers. Visualising Painters' Lives on Behance. Data is the Latest Medium for Creating Beautiful, Meaningful Art. Although much of their artwork looks random, that’s far from reality. A growing number of “data artists” are creating conceptual work using information collected by personal data trackers, mobile apps, scientific experiments and even hand written notes.

Little boxes. Foto credit. Intermental. Is tech creating new types of mental and emotional disorders? An increasing number of stories about internet addiction and the effect of constant device use on our minds, lives and relationships. Simple Visualizations with D3plus. Announcing the Information is Beautiful Awards Longlist. Showcase. Subtleties of Color (Part 1 of 6) : Elegant Figures : Blogs. Milestones in the History of Thematic Cartography, Statistical Graphics, and Data Visualization. The Science of Visualization - SA Visual - Scientific American Blog Network. Infographics. The Architecture of a Data Visualization — Accurat studio. Timeline of History. Science Visualization Made Clear. Galapagos Islands, field notes, 1970-1971, and undated. Home - Seeing Data. NASAGallery. Beautiful Science - Natural History Timeline.

Treevis.net. Untitled. Understanding Data Visualisations - Seeing Data. About Seeing Data Research - Seeing Data. Sketching with Data Opens the Mind’s Eye. Story Map — Design story. Week 33 a week of envy — Dear Data. Digital Cartography. Visualizations. Visualize your data. Data Journalism, Spring 2014. A path for redesign as critique in visualization. TAPoR - Text Analysis Portal for Research. Image Sort Visual Learning Tool - About. Organizers. Shom.pdf. Circles-of-Life-c-Martin-Krzywinski-Circles-of-Life-2014.png (PNG Image, 3839 × 5905 pixels) - Scaled (9%)

Home - Visual Thinking Strategies. Visual Thinking. DataVis.ca.