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Argonne scientists are working on more efficient techniques to allow computer visualizations of extremely complex phenomena, like this rendering of a supernova.
This astrophysics simulation seeks to discover the mechanism behind core-collapse supernovae, or the violent death of short-lived, massive stars. The image shows entropy values in the core of the supernova, different colors and transparencies assigned to different values of entropy. By selectively adjusting the color and transparency, the scientist can peel away outer layers and see values in the interior of the 3-D volume.
Image courtesy Hongfeng Yu at University of California-Davis. The dataset used was provided by scientists John Blondin at North Carolina State University and Tony Mezzacappa from Oak Ridge National Laboratory.
Every bus vehicle arrival at every stop in the Portland area transit system over from 4AM to 12-midnight on a weekday.
Cartagrophy as storytelling
We are preparing a seminar in Estonian Art Academy about info visualization and this is one sample of the infographics material we are going to use there.
Tangible Engine is a new visualizer, configurator, and software development kit that allows developers to easily connect real-world objects to applications running on Ideum multitouch tables. Tangible Engine also comes with a starter kit of object markers and instructions for 3D printing them. Tangible Engine works with Ideum multitouch tables that use 3M touch technology, including the 55" and 65" Platform and Pro.
To learn more please visit the website.
The Intergovernmental Panel on Climate Change (IPCC) provides the freshwater availability scenarios for Europe in 2050s. As consequences of climate change, states will face variations of water availability: some of them will contend with decreasing of runoff and increasing of drought frequency, others with the opposite situation. Governments have to realize the oncoming changing and develop their water management in order to satisfy their future internal demand.
Today just few countries invest substantial money in infrastructures and understand the necessity to get ready for the next condition; the most of them has just adequate water management that will be hardly succede try out.
The visualization below has two goals. The first one is to illustrate the consequences of climate change in the water availability of each European countries. The second one is to compare the “antrophic cycle” of water in two countries with very different water managements: UK and Romania. The balance between water availability and water demand needs funds to promote infrastructures and knowledge. By this representation is possible to realize which are the actors involved and their roles, how they are connected and how climate change will worsen the gap.
Project by:
Silvia Acerbi
Paola Berardelli
Lorenzo Berte'
Samantha Pietrovito
Irene Zocco
I was astounded by Bill Rankin's map of Chicago's racial and ethnic divides and wanted to see what other cities looked like mapped the same way. To match his map, Red is White, Blue is Black, Green is Asian, Orange is Hispanic, Gray is Other, and each dot is 25 people. Data from Census 2000. Base map © OpenStreetMap, CC-BY-SA
I was astounded by Bill Rankin's map of Chicago's racial and ethnic divides and wanted to see what other cities looked like mapped the same way. To match his map, Red is White, Blue is Black, Green is Asian, Orange is Hispanic, Gray is Other, and each dot is 25 people. Data from Census 2000. Base map © OpenStreetMap, CC-BY-SA
This infographic refers to the 2007 IPCC report about the global warming, with particular focus on food, fibre and forest production.
The data analysis highlights a huge impact on the soil capacity according to the forecast about a rise of the temperature in the next decades.
Despite the positive effect on the crop production in the short term, in 2080 the scenario expected is alarming.
The topside of this visualization shows how the temperature would affect the cereals production (maize, rice and wheat) and how this could directly influence the global percentage of the people at risk of hunger.
The growth of the population and the simultaneous decrease in crop production do not allow the balance between supply and demand: between 2050 and 2080 this gap could cause negative social-economic effects.
The second part visualizes the relations between Humanity and the other actors of the system. Main relations link Humanity with Livestock, Agriculture and Forestry (medium level), which are themselves connected with Soil and Atmosphere. This second level of the system is where the effect of the Global Warming are firstly received. Than, by the connection with the medium level, these effects would fall on Humanity.
The title of the poster encloses the whole meaning: global warming has effects on cereals and their absence causes the death of Humanity. Humanity is also the first cause of the temperature increase, so it is like a sort of self destruction.
The only way to stop this vicious circle is by changing the human behaviors. Humanity can't act directly on Soil and Atmosphere, but can try to do concrete actions against the Global Warming in order to save cereals and also itself.
Project by:
Lara Caputo
Eleonora Cattaneo
Andrea Larghi
Enrico Luparello
Anna Menegolli
Nowadays global warming is one the urgent problems that our society need to deal with, for our wealth and for the future’s. This project focuses on coastal systems and low-lying areas because they are projected to be exposed to increasing risks (i.e. erosion, floods) and their effects will be exacerbated by rising human-induced pressures on the environment. First, we gathered data about the present situation and how could be dangerous the future one, according to the four possible scenarios provided by the Fourth Assessment Report of IPCC. Then we searched for the major causes related
to the damage of coasts and lands, and we figured out that the huge increase of greenhouse gases during last century is the main reason why
temperature suddenly rose, causing thereby the slowly shattering of the world how we know it.
We collected all informations in the artefact below, showing how the ‘machinery’ of climate change works from the point of view of coastal
systems, how coasts react to environmental changes and how these changes affect human living. To give an existing example of what climate change
has led and will lead to us, we provided data from disastrous consequences caused by Hurricane Katrina, which struck New Orleans’ coasts in 2005.
Therefore, we also focused on North America pollution’s data.
In conclusion, we gathered all the “advices for the future” and put them in a “reaction” area. This has a great importance because it shows how
population and governments should behave to slow down this serious situation, that is to ACT with social sustainable awereness and to promote
laws in aid of it.
All of this in order to avoid the “coulda, woulda, shoulda” statement, ever.
That’s the way we want it to be.
Project by:
Stefania Guerra
Michela Lazzaroni
Roberto Scotti
Ilaria Segreto
Jlenia Vertemara
"Vulnerability" is the word that best describes small islands' situation. These territories, placed close to the equator, in Atlantic, Indian and Pacific Ocean, are subjected to extreme natural events, such as cyclones and floodings. These natural catastrophes weaken the territory and affect both population and economy causing, on the one hand, the inability to find a stable position in the marketplace and preventing from reaching, on the other hand, the benefit needed to face such catastrophes.
Global temperature rising strongly contributes to get the situation worse: IPCC's datas show how in the last decades extreme events have increased in number and intensity in conjunction with temperature rise. Even if they're not directly responsible of climate change, small islands are those who most feel these events and they are now experiencing what the rest of the world could be forced to face in one hundred years.
Nowadays, among dissenting opinions, the solutions found are very few, not entirely effective and, most of all, hardly feasible.
Project by:
Marco Agosta
Elisa Angelico
Michele Crivellaro
Federica D’urzo
Elisa Mariangela Raciti
Visualizing climate change through fiber. The very pale grey represents the smallest plus deviation from the calculated average -- less than .5; the pale aqua, the smallest negative deviation, between 0 & -.5.
The dark red near the knitting needle represents 1934 & the largest plus deviation on this chart -- + 3 & over. 1934 was the first wave of the Dust Bowl. This color does not reappear until 2012.
There is a wealth of data that shows the value to companies of investing in employee health. It is not always easy to communicate it coherently and encourage employees to participate in wellness programs. GE Healthcare's Health Economics team has made an attempt to get it across in pictures. Watch Raquel Cabo from in GE Healthcare's Health Economics team talk about the data in the visualization.
For more information, please visit newsroom.gehealthcare.com/articles/wellness-dataviz-shows...
Maps of racial and ethnic divisions in US cities, inspired by Bill Rankin's map of Chicago, updated for Census 2010.
Red is White, Blue is Black, Green is Asian, Orange is Hispanic, Yellow is Other, and each dot is 25 residents.
Data from Census 2010. Base map © OpenStreetMap, CC-BY-SA
From Nexus: apps.facebook.com/_nexus_/
Connecticut on the left, Molecular on the bottom, WPI on top, and the Boston/Cambridge social scene on the right..
Image from "Flight Thru Instruments," a 1945 US Navy pilot-training manual designed by the Graphic Engineering Staff at General Motors, under the direction of Harley Earl.
More explanation on the blog:
"Flight thru Instruments" and the Fine Art of Instructional Illustration
I was astounded by Bill Rankin's map of Chicago's racial and ethnic divides and wanted to see what other cities looked like mapped the same way. To match his map, Red is White, Blue is Black, Green is Asian, Orange is Hispanic, Gray is Other, and each dot is 25 people. Data from Census 2000. Base map © OpenStreetMap, CC-BY-SA
sent to my group www.flickr.com/groups/abc-visualized for the letter C: 1. Happy Furry weekend..., 2. Maiden Flight Concorde 002, 3. Colliding planes, 4. Untitled
I'd like to say hola! to my most frequent visitors, friends, family and not so friends but I really appreciate your kind support. I'm including the ones I know they silently come time to time. Also hello to my 4 well known spies who decided to choose the dark side of the force. I guess you're planning your holidays. I'll go to Mallorca and Ibiza soon. Well, this is not completely true yet but I need to visualize it to make it real! ;-D
This song always cheer me up. I don't know what it says... It sounds like Disney into me and I don't know why. I hope you're having a good time!
Listening...
www.goear.com/listen/f083f46/LDN-Lily-Allen
<3
The University of Hawaiʻi at Mānoa’s Laboratory for Advanced Visualization & Applications (LAVA) was founded in January 1, 2014 by UH Mānoa Professor Jason Leigh. The mission of LAVA is to conduct research and development in big data visualization techniques, and to apply these techniques in cutting edge domain science, engineering, and training applications.
www.intersectionconsulting.comThis visual, inspired by Seth Godin, illustrates 5 pillars of marketing success: Vision, Objectives, Decision Making, Knowledge and Trust.
Graphed in this image are all the items that were featured on the front page then sold within the day, sorted into columns by price. It was generated from data spanning the last two weeks of September 2007 using a program written in Flash AS3.
Please view the original resolution.
Looks like there is a sweet spot at $15, as well as most of other multiples of $5. The sole item in the $0 column, was actually listed as $.20 and rounded down for the graph placement (also known as a P.I.F.).
www.etsy.com is a marketplace to buy and sell handmade goods and is a company I helped co-found in June 2005.
Really interesting visualisation by Nexus: view interactive version
I've added some notes explaining the clusters. They're remarkably distinct.
* The left cluster is personal, the right cluster is work.
* There are 3 sub-clusters in Personal, and 4 sub-clusters in Work
* Jared connects both personal and work clusters. He connects with both Wheel/LBi (where he and I used to work) and Isotoma (where I currently work), and he and his wife became good friends of ours.
* Besides my wife and my brother, there are virtually no family members in the graph. They're not very wired.
* I've lost touch with nearly all people I knew in school, and most of those I knew in uni
* I tend to add only people I know fairly well in real life, and very rarely clients
Nexus also shows you what you have in common with people in your network (Interests and Groups), ordered by the number of similarities. In my cases mostly Interests since I don't tend to join Groups. (Interests are fuzzy and unreliable.) Interestingly, the person at the top of my similarity scale is one of the outliers, Mary, whom I only know through Flickr.
Would love to see something like this for Twitter. TwitterAnalyzer is similar, but does not do the same kind of clustering. Also want this for Linkedin and Flickr
I was astounded by Bill Rankin's map of Chicago's racial and ethnic divides and wanted to see what other cities looked like mapped the same way. To match his map, Red is White, Blue is Black, Green is Asian, Orange is Hispanic, Gray is Other, and each dot is 25 people. Data from Census 2000. Base map © OpenStreetMap, CC-BY-SA
2017 DownUnder Championships
Australia + New Zealand + USA
Griffith University Athletics Track
Gold Coast
Australia
Looking for repeating structure in 5 years of traffic fatality data, this visual plots the relative likeliness of these incidents through slices of time and also geographically.
The data are available here: www.nhtsa.gov/FARS
More on this visualization and others: uxblog.idvsolutions.com/
This is a Social network anlysis from www.linkedinlabs.com/inmaps of my LinkedIn contacts. The color coding corresponds to different groups that I know, and how the tool classifies them. (I will say that it is remarkably correct)
LinkedIN20120610a
PROJECT:Jinhui Park
DESIGNED BY SCDRI
RENDERED BY FRONTOP
Frontop creates 3d rendering, architectural rendering, architectural visualization and architectural animation for architects, designers, real estate developers and much more.
For a nice comparison, this is a graph originally done when Etsy was 2 months old. It shows all registered Etsy users with avatars on August 11, 2005. Ordered from top left to bottom right by date of registration.
See the same visualization for the month of October 2007.
Maps of racial and ethnic divisions in US cities, inspired by Bill Rankin's map of Chicago, updated for Census 2010.
Red is White, Blue is Black, Green is Asian, Orange is Hispanic, Yellow is Other, and each dot is 25 residents.
Data from Census 2010. Base map © OpenStreetMap, CC-BY-SA
CMS utilizes a distributed infrastructure of computing centers to provide access to data stored on disk only at Tier-2 centers and tape with disk caches at Tier-1 centers. Attached are CPU resources for organized processing and analysis. Data is organized in datasets which consist of files grouped in blocks for performance reasons. CMS uses it's data transfer system PhEDEx, to transfer datasets from site to site and its data bookkeeping service DBS to track location and metadata. Integrated over the whole system, even in the first year of data taking, the available disk storage approaches 10 petabytes of space. Maintaining consistency between the data bookkeeping service, the data transfer system, and physical storage is an important operational task which guarantees uninterrupted data availability.