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Visualization of Flickr geotagged photos, uploaded between 2007 to 2015 and geotagged with the highest accuracy (street-level). I generated a number of different visualizations.
Visible from 'space': the Camino de Santiago in Spain appears as a European 'highway' of photo taking!
Here is an animated version of this map
Created with ClipGeo as part of a research project (maps.alexanderdunkel.com).
Blue pictures are by locals. Red pictures are by tourists. Yellow pictures might be by either.
Base map © OpenStreetMap, CC-BY-SA
Visualization of the Earth's south pole and Antarctica from NASA. This image was created by a computer using information from several satellites - if you were in orbit, you would not see this...
Image source: svs.gsfc.nasa.gov/vis/a000000/a003400/a003402/index.html
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
Google's auto-complete - an incidental feature but always hilariously revealing about the deep concerns of the group mind.
I had a go at visualizing the query “How do I get my girlfriend / boyfriend to…” using the sweet tool Web Seer. See what you think.
More visuals here
It fascinates me to be aware of the fact that I can look at a visualization of mine, anytime. The surreal nature of such visualization becomes so real that it blurs the boundaries between a vision and (reality?), until we become stuck in a loop of not knowing when to wake up or when to believe.
Arranged in a matrix, the visualizations of the food data are structured from Simple to Complex [Axis 1 Left to Right] and Literal to Abstract [Axis 2 Top to Bottom].
This matrix was installed as part of the thesis presentation. Users are encouraged to document their interaction with the matrix using an "Experience Card" tracking which one they saw first, looked at the longest, thought was the most effective and thought was the least effective.
The idea of the matrix is create a live space for comparison and contrast of the different methods of visualization. When viewed one at a time, the human memory is unable to recall enough data from previous images to create a truly effective comparison.
Each image has a note attached that links to the full size version of that visualization. If they are driving you crazy, hover anywhere off of the image and lines disappear, or click on the image to go into another view with no notes. See it super large scale by viewing other sizes.
See the super huge orginial here
Feel free to leave comments with your reactions based on your experience (albeit a bit smaller than the real one)
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
This movie presents a visualization of the star-forming region known as S106. This unique three-dimensional view illustrates and emphasizes that many of the objects contained within astronomical images are not at the same distance, but, in fact, spread across light-years of space. The Hubble image is augmented with additional field-of-view from the Subaru Infrared Telescope. The stars and the lobes of glowing gas from the Hubble/Subaru two-dimensional image have been separated and sculpted using both scientific knowledge and artistic interpretation to create the depth in the movie. The relative distances between stars and the nebula have been greatly compressed. The format of this movie is a standard "2D" presentation and does not require a 3D screen or 3D glasses.
Credit: NASA, ESA, and G. Bacon, T. Borders, L. Frattare, Z. Levay, and F. Summers (Viz 3D team, STScI)
In order to visualize the theme of insecurity in the whole educational field we firstly ran a deep analysis of the different schoolastic paths that an Italian student can walk from his/her first years to his/her entrance in the work market. We noticed that most of their choices are made after the high school, deciding for a job or an Univeristy, and facing the different courses option. Our choice to focus on public education is related to the shortage of information given from our sources about the private institutes.
The fragmented appearance of the visualization, its formless global image, reflects the confusion in which data are treated and offered from miur (the Italian Ministry of Education, University and Research) and istat (the most important and authoritative Italian statistics institute).
The first part of our visualization tries to show the complex relationships system (economic, didactical and decision-making flows) that makes possible the existence of the whole Public University System. In the second part we analysed the different academic paths from starting University to obtaining a master degree and in which way and misure academic careers are related to the real work world.
We also wanted to point out the precariousness of the academic situation and, as a consequence, how our visualization is logically correct only in the present. Our representation could not tell the same story in the next future; currently a lot of changes regarding the whole educational system have being discussed by the Parliament for an important reform proposed by the Minister Mariastella Gelmini (anyway we are not sure for how long she will be our Minister).
As a conclusion of this period of research and design, we face an unsolved question: is it possible that employement possibilities are the only factor that influences students’ choices?
Project by:
Monica Diani
Valerio Pellegrini
Tommaso Trojani
Giorgio Roberto Uboldi
Francesco Villa
www.densitydesign.org/course_projects/insecurity_systemdi...
Hydrogen accounts for about 74 percent of the normal matter in the Universe. This visualization shows the electron clouds of hydrogen through the probability density function when the principal quantum number, N, is between 1 and 4. The probability density illustrates where the electron is most likely to be found if measured, red indicates high probability, blue indicates low probability.
Update: 2020/06/22: A 16k version is now available.
Update: 2020/07/06: A visualization showing all electron orbitals for N=1 to 6 is also available on Youtube: youtu.be/HyRHT4yOvms
A sad proportion of “art/science” illustrations are more show than tool, evoking but not helping to explain the phenomena that are supposed to be their subjects. This map and variations on it are a distinct counterpoint: they are used daily as a tool by Dick Klavans to determine such things as which areas of science are most closely connected to one another, are most and least intellectually vital, or which scientific areas produce the most patents. Here’s an image on which he and I collaborated (again, with Kevin Boyack’s help & ISI’s data) that discusses the variations in how different nations pursue science.
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
The visualization illustrates, using official data exclusively, the Italian employment evolution from 2004 to 2010, comparing employed, unemployed and inactive population of the country, with the due subdivisions. The minimum and maximum peaks are underlined in order to faster understand the situation during the considered period of time. In the last part data from 2010 are compared to those of the other European countries. Moreover, we have made a focus about the 15-34 years old population, analyzing the available data and reproducing, through the metaphor of the solar system, the actors system, the flows, the relationships through which each actor faces, in order to represent the dynamics against which they come up, through their journey from education conclusion or abandon to employment, with all the possibilities in-between and until the retirement moment.
Observing the infographics in its entirety, it emerges that in Italy the work force decreases, against the increase of the over-64 population, that needs the support of the welfare state.
Project by:
Alessandro Dallafina
Francesco Faggiano
Stefano Greco
Marco La Mantia
Simone Paoli
www.densitydesign.org/course_projects/insecurity_systemdi...
Taken for MacroMondays - Topic "Unexpected".
My second attempt to search for unexpectedness in physics. The laws of quantum mechanics say that some degree of unexpectedness is characteristic for nature on a microscale. So I tried to visualize a particle created from the vacuum by quantum fluctuations. The particle is one of my earrings. The vacuum is a piece of crumbled aluminium foil. I did expect some bokeh, but not that much ...
Submitted to Our Dialy Topic - Round
The national health care system aims to improve the health and lives of citizens through care activities, education and prevention. Italy has a publically owned health system, offering a high level of training for people involved in the medical, nursing and research and technology fields.
These principals emerge in comparison with other countries from outside the European Union.
The professionalism of the system is reflected in the quality of the infrastructure and services offered. Are we dealing with a National Health care system or are we dealing with Regional or Local health care systems? Our research is born from these questions and attempts to describe the economic/welfare issues that revolve around this topic. Through analysis of the data, supported by the National Insitute of Statistics, we have mapped out a logical path, that describes the proposed offer made by the public service comparing investments, infrastructure and guaranteed benefits.
We have then moved onto the user's requests, focusing our interest in particular on the perception of the Health service and the most common types of diseases to discover the causes and connections and the complexity that surrounds them. The emerging reality reveals the presence of multiple health systems, with deep territorial differences, at a regional and even provincial level. The overall picture of the system is one of a system structurally complex and fragmented, that is not always clear in its interactions and communications with citizens.
Project by:
Felipe Alejandro Ospina Borras
Stefano Cotzia
Jacopo Marcolini
Davide Martinotti
Xuan Wu
www.densitydesign.org/course_projects/insecurity_systemdi...
This project starts from the analysis of the data provided by the institutional bodies (Home Oce and ISTAT) in the field of public safety and from the desire to represent the theme of physical security as is socially treated. Ocial sources deal with this topic considering a purely legal side: provided data are those related to the reported crimes' type and number, related to the place in which they are committed and relative criminal actions. The reference year is 2005, the most “recent” for which it is possible to establish a cross-comparison between data. The project was developed, on one hand, in order to show the judicial apparatus' functioning and numerical data about crime, on the other hand, to highlight all the elements missing in social analysis, which are though very important to understand the complexity of the topic. The city is structured on the political and social hierarchy: the state, institutions, citizens. In this context, relations between the parties and their influence on physical safety are therefore perceived. In order to represent the classes of crimes and the system of convictions and sentences, the metaphor of Dante's Inferno has been chosen. At the same time, the image of an underground machine, consisting of pipes and gears, explains the criminal justice process' stages, showing its complexity. Where, therefore, insecurity creeps into? In the amount of citizen who decide not to press charges, in the disproportion between the reported crimes and the convicted criminals, in weakness and finally in the imposed penalties, in a panorama that shows difficult paths and seems to tell to those who have to deal with it: “All hope abandon, ye who enter here”.
Project by:
Federica Bardelli
Alessandro Marino Giuseppe Brunetti
Gabriele Colombo
Giulia De Amicis
Carlo Alessandro Morgan De Gaetano
www.densitydesign.org/course_projects/insecurity_systemdi...
Analog Photography of 2011 with virtual framing/ Fotografía analógica del 2011 con enmarcado virtual.
mondeguinho.com/master/information-visualization/traffic-...
1534 vehicles, during October 2009 in Lisbon, leaving route trails and condensed in one single day.
Rapid arteries are drawn with greenish and cooler colors, while the sluggish ones are reddish and hotter. Nevertheless, traffic intensity is mapped in the thickness and brightness of the arteries.
The white dots represent the vehicles themselves, and there is a visual emphasis on the areas with slowest traffic.
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
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
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
Vizualization of "Management of Complexity":
We call a technical system complex (in contrast to complicated) if it is impossible (due to the networked interaction of its components) to predict the behavior of the whole system, even if you know exactly how each of the system components behave.
The sculpture visualizes a complex system which consists of a network of simple
components. The sculpture is designed in a way that there exists no single angle of view which would allow you to see all components - some are always hidden by others.
This brings to my mind a visit of the famous Chinese gardens in Suzhou, where my colleague Tang Bao explained to me that these gardens are designed in a way that the garden always looks perfectly composed from all the infinitely many angles of view along the path leading through it.
This image visualizes the discovery of asteroids from 1801 to 2020. The Solar System is shown in a logarithmic scale to allow both the main asteroid belt and Kuiper objects to be shown. Asteroids are shown in the position of their perihelion. This makes it easier to separate the various families.
I also plotted the histogram of how many minor planets were discovered each year, the semi-major axis, and excentricity on the right panels. The left panels show the excentricity and inclination as a function of semi-major axis, this is again to show how the various asteroid families were defined based on their orbits.
Data source: www.minorplanetcenter.net/
Youtube visualization: youtu.be/QOdrRX-IScc
Mark Newman's rendering of the 2008 presidential election. Counties are sized based on population and colored based on how they voted.
Hand-made visualization tool-kit
I am exploring new and simple ways to represent information. That is why i made my own visualization kit-tool that i use to make any kind of graphics quickly.
With it you can make any kind of graphics including: abstracts maps and diagrams, area graphs and charts, arrow diagrams, bar graphs, venn diagrams, time line charts, bubble graphs, circle diagramas, proportional charts, organization charts, and really, whatever you want.
i´ll upload graphic examples that i have made with the kit-tool soon.
Do you want your own kit for free? Send me an e-mail.
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
Visualizing the chemical composition of Earth's crust was done through scaling the volume of each sphere according to the mass each element relative to the total mass.
The mass of each element in Earth's crust is printed in the bottom right corner in parts per billion by mass.
Source: CRC Handbook of Chemistry and Physics, 97th Edition, (2016-2017)
Rotate, zoom, see music from the back online: martonborzak.com/music
Music visualization generated with processing. Basically turning the two dimensional description of music into 3D.
Ferenc Liszt - Hungarian Rapsody No. 2.
Here I visualized the sand dunes with the La Sal Mountains in the background. I wanted to capture the shear vastness of the area and add the mountains to show it as the backdrop.
This is a visualization of the frequency of the words 'iran' and 'iraq' in New York Times articles since 1981.
This visualization reads like a clock. You can see the Iran Contra Affair at about 2:30. The first gulf war is at about 4pm. The second Iraq invasion is the biggest spike starting at about 9:30, continuing up until the current day (midnight).
Interestingy, Iran (in red) shows a large increase in activity in the months leading up to the end of 2008.
Built in Processing (http://www.processing.org)
A visualization of the connections between people on Bagcheck at the end of May 2011. This graph shows the number connections (follows) each person on the site has.
Check out Bagcheck please. (cause you know you want to be in this graph -don't you!)