Virtuelle Galerie mit realen GIFs (oder umgekehrt?)

Aus einer Ausstellung über GIFs, welche in den virtuellen Raum transpon(/rt)iert wurden. In der virtuellen aber realen Gallerie nehmen die GIFs eine physische Form an.

LINK zu CERMÂ

Pfad-Diagramm

Schönes neues Pfad-Diagramm der NYT. Die sorgfältige Beschriftung macht's aus. 

gif

Close Votes by Jan Willem Tulp

Based on the 2012 parliament elections in The Netherlands, this visualization shows which cities distribute their votes similar over the political parties.

(see also Ghost Countries, the winner of 2011 Eyeo Data Visualization Challenge)

The Graphical Web 2012: Presentation Slides

Einige Links zu den Vorträgen an der Konferenz "The graphical Web" (11. bis 14. September 2012 an der ETH Zürich)

D3.js:

by Ian Johnson
Link

SVG in eBooks:

by Michael Neutze
Link

Dynamic, Interactive maps for the new web

by Sergio Álvarez Leiva
Link

Web graphics from research to apps to action

by Oleg Lavrovsky and Prof. Dr. Adrienne Grêt-Regamey

as SVG and PDF

Kartograph.js

by Gregor Aisch

Link

Entdeckung: Mapping Istanbul

This book presents an initial effort to map the city of Istanbul, a city steeped in complexity. Working collaboratively with Garanti Galerie and architects Superpool, Project Projects established a uniform visual style for the hundreds of maps and information graphics included. The book's design presents this information in an accessible, narrative sequence, creating a valuable resource for architects, planners, and policy-makers invested in the city's future.

NYT: At the National Conventions, the Words They Used

Sehr schöne, innovative Darstellung der Wörter, die an den nationalen Parteitagen der Republikaner respektive der Demokraten verwendet wurden. Natürlich von der NYT

Tauba Auerbach’s RGB Colorspace Atlas Depicts Every Color Imaginable

Und hier die Auflösung: Amazing fMRI plots for everybody!

Amazing fMRI plots for everybody!:

(This article was first published on Nicebread » R, and kindly contributed to R-bloggers)

Dear valued customer,
it is a well-known scientific truth that research results which are accompanied by a fancy, colorful fMRI scan, are perceived as more believable and more persuasive than simple bar graphs or text results (McCabe & Castel, 2007; Weisberg, Keil, Goodstein, Rawson, & Gray, 2008). Readers even agree more with fictitious and unsubstantiated claims, as long as you provide a colorful brain image, and it works even when the subject is a dead salmon.

The power of brain images for everybody

What are the consequence of these troubling findings? The answer is clear. Everybody should be equipped with these powerful tools of research communication! We at IRET made it to our mission to provide the latest, cutting-edge tools for your research analysis. In this case we adopted a new technology called “visually weighted regression” or “watercolor plots” (see here, here, or here), and simply applied a new color scheme.
But now, let’s get some hands on it!

The example

Imagine you invested a lot of effort in collecting the data of 41 participants. Now you find following pattern in 2 of your 87 variables:

You could show that plain scatterplot. But should you do it? Nay. Of course everybody would spot the outliers on the top right. But which is much more important: it is b-o-r-i-n-g!
What is the alternative? Reporting the correlation as text? “We found a correlation of r = .38 (p = .014)”. Yawn.
Or maybe: “We chose to use a correlation technique that is robust against outliers and violations of normality, the Spearman rank coefficient. It turned out that the correlation broke down and was not significant any more (r = .06, p = .708).”.
Don’t be silly! With that style of scientific reporting, there would be nothing to write home about. But you can be sure: we have the right tools for you. Finally, the power of pictures is not limited to brain research – now you can turn any data into a magical fMRI plot like that:

Isn’t that beautiful? We recommend to accompany the figure with an elaborated description: “For local fitting, we used spline smoothers from 10`000 bootstrap replications. For a robust estimation of vertical confidence densities, a re-descending M-estimator with Tukey’s biweight function was employed. As one can clearly see in the plot, there is  significant confidence in the prediction of the x=0, y=0 region, as well as a minor hot spot in the x=15, y=60 region (also known as the supra-dextral data region).”

Magical Data Enhancer Tool

With the Magical Data Enhancer Tool (MDET) you can …

• … turn boring, marginally significant, or just crappy results into a stunning research experience
• … publish in scientific journal with higher impact factors
• … receive the media coverage that you and your research deserve
• … achieve higher acceptance rates from funding agencies
• … impress young women at the bar (you wouldn’t show a plain scatterplot, dude?!)

FAQ

Q: But – isn’t that approach unethical?

A: No, it’s not at all. In contrast, we at IRES think that it is unethical that only some researchers are allowed to exploit the cognitive biases of their readers. We design our products with a great respect for humanity and we believe that every researcher who can afford our products should have the same powerful tools at hand.
Q: How much does you product cost?

A: The standard version of the Magical Data Enhancer ships for 12’998 $. We are aware that this is a significant investment. But, come on: You deserve it! Furthermore, we will soon publish a free trial version, including the full R code on this blog. So stay tuned!

Best regards,
Lexis “Lex” Brycenet (CEO & CTO Research Communication)

International Research Enhancement Technology (IRET)

To leave a comment for the author, please follow the link and comment on his blog: Nicebread » R.

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Auch für Datenvisualisierungen interessant:

It is a well-known scientific truth that research results which are accompanied by a fancy, colorful fMRI scan, are perceived as more believable and more persuasive than simple bar graphs or text results (McCabe & Castel, 2007; Weisberg, Keil, Goodstein, Rawson, & Gray, 2008). Readers even agree more with fictitious and unsubstantiated claims, as long as you provide a colorful brain image, and it works even when the subject is a dead salmon.

Visualizing NYC

Schöne Zusammenstellung von Visualisierungen georeferenzierter Daten zu New York:
-
(1) Livehoods

Livehoods reveal how the people and places of a city come together to form the dynamic character of local urban areas. Each dot on the map (●) represents a check-in location. Groups of nearby dots of the same color form a Livehood. The shapes of Livehoods are determined by the patterns of people that check-in to them. If many of the same people check-in to two nearby locations, then these locations will likely be part of the same Livehood.

-

Visualisierung der Abstimmungsergebnisse 3

Visualisierung der Abstimmungsergebnisse 2

Visualisierung der Abstimmungsergebnisse 1

Statistics Rule

Mein Patenkind in England:

selina in england: forget about london: forget about london in tunbridge wells it's even cooler :D first there was a little mess cause the other exchange students travelling to tun...

3D-Printing, einmal mehr...

Ich bin ein Fan von 3D-Printing, weil man damit solche nutzlosen Sachen machen kann. In fünf Jahren find ich's dann doof, einen Briefbeschwerer (für welche Briefe?) mit dem Soundspektrum meines Lieblingslieds (oder dem Geburtsschrei meines Babys?) zu haben, jetzt fänd ichs cool!

Microsonic Landscapes: Visualizing Music in Physical Form »

Microsonic Landscapes [realitat.com] by Juan Manuel de J. Escalante represents music in a physical form by way of an algorithmic translation process from sound to form. Seemingly, a series of spectrum-based soundwaves are swooped around to create tangible, circular shapes. See also - Sound Sculptures: Rendering Sounds in Tangible Forms - Augmented Sound Data Sculpture - Laser-Cut Sound Analysis Sculpture - Sound of Light Sculpture - Sound Chair...

Traumfahrt

C4D

Image as Datastore

Das interessante an diesen Bildern ist, dass die Daten nicht in einer Tabelle, sondern als Bild gespeichert wurden. Die Farbintensität bestimmt dann wiederum, wie hoch die entsprechenden Punkte in einem 3-dimensinalen Koordinatensystem angehoben werden.Das Bild ist also der Übermittler zwischen Datenbank und 3D-Modellierungs-Tool.

Wie man diese Methode noch weiterentwickeln könnte, schreibt Moritz Stefaner hier:

if your database is an image, you can apply image transformation techniques to modify your data! (Think enhance contrast, minimum/maximum, slicing, blurring,…) What can be very difficult numeric operations if only working with numbers, can be very simple operations in Photoshop, and, again, the result is immediately inspectable. 

Oder in einer anderen Anwendung:

Now here is an incredibly simple way to do it: Pick a unique color for each country. Go through all the polygons of a country and draw them on a simple map mapping lat and long to x and y coordinates in the desired precision.

Now, for any point on earth, you just need to look up the color of the pixel belonging to its map coordinate, and — there you have the code of the corresponding country. Very handy! Again, all the difficult data processing has been taken care of by the image processing algorithm..

Twitter analysis of air pollution in Beijing

One of the air pollution detection machine in Beijing (at the American Embassy) is connected to Twitter and tweet about the air quality in real time. By default the machine in Beijing output the 24hr summary PM2.5 air pollution information. What is PM2.5 is define here

 
Source: BrainChronicle