View allAll Photos Tagged Visualisation
This was to visualise the top brands and who owns them/other brands they own also. I started off with well known brand portfolios to visualise them like colgate palmolive but had no direction.
purchase a copy here: www.clockworkgallery.co.uk/?p=1&a=CW&w=CW01
100 x 60 cm
(approx.) £24.95 per Edition
($ 35.72, € 26.88)
So found this top ten list for 2007, and worked from here.
www.wonderlandblog.com/wonderland/2007/01/top_ten_most_po...
Also inspired by a car badges brands visual:
coolinfographics.blogspot.com/2008/04/who-owns-car-compan...
featured here: visualthinkmap.ning.com/photo/photo/show?id=2168552:Photo...
Plotting some data from www.hackdiary.com/2010/02/10/algorithmic-recruitment-with... in preparation for Web Directions @media London on Friday.
Shows all developers who identify their location as London on Github, who have 4 or more other Londoners following them. The sizes and colours come from Betweenness Centrailty and In-Degree respectively.
Plotted with Gephi
Ignoring 403 which had little footing in Surrey with more of a portion in London up to Sutton, the 405/409/420 each went to a major town in South London: Croydon (405/409) and Sutton (420).
It was an interesting choice of 405 being taken by London Transport though it was after it's cut from Crawley to Redhill. Since it's 20/04, (or in American standards, 4/20) I've thought why not imagine a 420 in the attire of a London attire decades after Sutton (A) previously operated it before Metrobus taking it on.
In this weird scenario I've decided to throw 420 in peril and connect it with the Northern Line at Morden from it's current and long time terminus of Sutton Bus Garage, whilst on the other end it's been extended from Redhill to Whitebushes in 2013 so I've omitted that.
So an every 20 (every 30 Sundays/evenings) route that could give reason to cut S1 from Banstead into London borders by Belmont, I say with the TfL mantra of 'cutting saves all'. Every journey matters. Giving Tattenham, Tadworth and Lower Kingswood a connection to neighbouring London borders, but at what cost?
Visualisation on my art photography on the wall.
Art Studios999 Burton on trent.
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Visualisation competition entry “Rechtbank Amsterdam” (2016), for iDO2: Volker Wessels, Hootsmans Architectuurbureau & Sevil Peach.
In collaboration with Bmd3d.
The visualization explores the evolution of “The Simpsons” cartoon over the 24 seasons. For each seasons we visualized episodes’ information such as number and titles, broadcasting year and number of charachters. A further investingation on characthers displays: the intensity of their presence throughout the seasons, the seasons each of them first appears, their professional area of occupation and how many time they’ve been named within the dialogues.
For many years I've enjoyed playing SuperTuxKart - a free and open source kart racing game.
When I noticed that the 'Ghost Mode' replay files were effectively space-delimited XYZ files, I thought I've had a go at reverse-engineering them and visualising them in QGIS 3.2.
This shows 4 of the built-in tracks (each is a slightly different scale for layout purposes.) Brighter colours represent faster speeds. I used symbol levels to show the fastest possible speeds for each point in the track.
The game physics mean that 'drifting' and 'slipstreaming' give a considerable speed boost, so you tend to lose speed on the straights and build them up over a series of curves.
There are also 'nitro' pickups and 'zips' to run over which can account for sudden speedups. In a few cases I fell off the track or bounced backwards off obstacles :D
There's lots of other things that could be visualised (height, in air/on ground, drifting status) so I might have a shot with qgis2threejs :-)
Pete Wells checking out the upper slopes of Everest and Lhotse from Pumori Advanced Base Camp. He summited Everest on May 23rd 2010.
CGI exterior visualization: good fairy by day and wicked witch by night??? Perhaps it is just Photoshop ;)
Simple visualisation of the Game of Life, where living cells are placed as spheres in a spacetime diagram. The color depends on the time the cell has been alive and the number of neighbours.
Rendered in PovRay.
Computer Generated
Holden launched it's Colorado Showcar as well as many other products today at the 2011 Australian International Motorshow in Melbourne. Ben Last the lead designer did a fantastic job on the vehicle as well the the amazing work by the Fabrication team headed up by Paul Clarke. This showcar as well as being awesome to look at and seriously tough was fairly special for me as it was the last vehicle I worked on at Holden Design. I was lucky enough to work on the hero renders for the showcar along with Euan Potter as well as photograph the design and fabrication process. Hopefully these photographs will be published and I can post a few of them! If you want any more info on the vehicle just visit the Holden website .
Worth checking out is the links to the Visualisation teams teaser animation. Just seen the final for the first time today and the boys have done a great job. Hope they're proud of it.
Also have a look at the behind the scenes video featuring Ben Last the Design Team.
Thought I would just put together a basic image on the computer generated and photography processes we use to create our automotive brochure images. The main reasons why we've adopted and pushed this process within GM are things such as cost savings, security and the fact we don't normally get cars to photograph until 2-3 weeks before a launch. With our CG process we can create images 60 to 80 weeks before a real vehicle even rolls off the production line. It also gives us much more creative freedom in creating images that couldn't normally be photographed.
Anyway hope this gives a little insight to what we do at GM Holden Design. Just post a comment if you have any questions.
Clouds captured by ESA astronaut Luca Parmitano during his Beyond mission on the International Space Station. Luca captioned this image: Vortexes like a braid over the sea, visualising a beautiful aerodynamic effect.
ID: 550A0274-1
Credit: ESA-L.Parmitano
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
These are screenshots taken from a 3D data visualization i realized at the Copenhagen Institute of Interaction Design for the Quantified-Self workshop (ciid.dk/education/summer-school/ciid-summer-school-2013/quantified-self/) with Marius Watz.
The project is called 'Cycles' and is a visualisation of my sleep cycles data (deep phase, light phase, awake phase, heart rate, efficiency...) recorded via an iPhone application.
The way the towers are built (step-by-step) is a metaphor of the data collection process.
Towers collapse because we are traveling through time (time flies so nothing remains permanently).
Colors are selected from a colour pool.
The longest a sleep cycles is, the more the related color will be selected in the color pool.
Those pics were captured while i was simultaneously drawing the path of the particles (the trails) and moving the camera around.
This visualisation of the three-dimensional structure of the Pillars of Creation within the star formation region Messier 16 (also called the Eagle Nebula) is based on new observations of the object using the MUSE instrument on ESO’s Very Large Telescope in Chile. The pillars actually consist of several distinct pieces on either side of the star cluster NGC 6611. In this illustration, the relative distance between the pillars along the line of sight is not to scale.
More information: www.eso.org/public/images/eso1518a/
Credit:
ESO/M. Kornmesser
Visualise a modular 'Jungle of Fun' activity area for 'Coco Pops' featuring the characters from the pack.
Client: Kellogg’s • Agency: Wolf Brand Experience
Visualisation created by DensityDesign students (Team: Serena Del Nero, Marco Mezzadra, Claudia Pazzaglia, Alessandro Riva, Alessandro Zotta) published on "Corriere della Sera - La Lettura" #266.
English version available here:
www.flickr.com/photos/densitydesign/31527995451/in/datepo...
The drum beneath the main body of the guitar is spinning, which aids the sine-wave of each string clearly visible. At Copernicus Science Museum (Centrum Nauki Kopernik), Warsaw, Poland.
Interaktives Gestalten/Konzeptuelles Gestalten
WS 2007/2008
Im Garten der Information
Gestalten mit „processing“
Florian Jenett (processing)
Prof. Philipp Pape
Prof. Anna-Lisa Schönecker
Informationen aus Datenquellen werden mit Hilfe von processing in lebendige Visualisierung umgesetzt, die dem Betrachter einen erlebbaren Zugang zu diesen Daten bietet bzw. neue Verknüpfungen erkennbar macht.
Studienarbeiten von:
Gernot Baars
Alex Balzien
Daniel Becker
Helena Fischer
Marcel Fleischmann
Nils Holland-Cunz
Stefanie Jellen
Susanne Kehrer
Sabrina Koehler
Nora Korn
Martha Richter
Kristina Klinkmüller
Christopher Adjei
Interaktives Gestalten/Konzeptuelles Gestalten
WS 2007/2008
Im Garten der Information
Gestalten mit „processing“
Florian Jenett (processing)
Prof. Philipp Pape
Prof. Anna-Lisa Schönecker
Informationen aus Datenquellen werden mit Hilfe von processing in lebendige Visualisierung umgesetzt, die dem Betrachter einen erlebbaren Zugang zu diesen Daten bietet bzw. neue Verknüpfungen erkennbar macht.
Studienarbeiten von:
Gernot Baars
Alex Balzien
Daniel Becker
Helena Fischer
Marcel Fleischmann
Nils Holland-Cunz
Stefanie Jellen
Susanne Kehrer
Sabrina Koehler
Nora Korn
Martha Richter
Kristina Klinkmüller
Christopher Adjei
QGIS 2.18.3, Time Manager Plugin, ffmpeg.
Python code to create geodesic buffers around New York using the pyproj library. Used the "accumulate features" option in Time Manager. Used stand-alone ffmpeg as i'm used to it, although i see TM now supports it (and animated gifs with imagemagick)
also used the ogr2ogr -wrapdateline option to avoid the "fall off the end of the world" antimeridian artifacts.
Each black ring represents the ~300 km light travels in 1 millisecond, red rings at 5 ms intervals. Speed is 5 frames/sec, so slowed down 200x from real-time. Takes just under 67 ms to get to antipodean point.
In reality, of thinking about things like ping times to servers, refraction inside the fibre optics slows things somewhat (up to 30-odd percent). And the cables don't necessarily follow great circles (shortest paths).
Aim of this was more to bring the scale down to something I could visualize (as a coder, ms seem a natural unit)
"When confronted with a situation that appears fragmented or impossible, step back, close your eyes, and envision perfection where you saw brokenness. Go to the inner place where there is no problem, and abide in the consciousness of well-being."
- Alan Cohen
submitted to 100 words
98/100 words: visualisation
These are screenshots taken from a 3D data visualization i realized at the Copenhagen Institute of Interaction Design for the Quantified-Self workshop (ciid.dk/education/summer-school/ciid-summer-school-2013/quantified-self/) with Marius Watz.
The project is called 'Cycles' and is a visualisation of my sleep cycles data (deep phase, light phase, awake phase, heart rate, efficiency...) recorded via an iPhone application.
The way the towers are built (step-by-step) is a metaphor of the data collection process.
Towers collapse because we are traveling through time (time flies so nothing remains permanently).
Colors are selected from a colour pool.
The longest a sleep cycles is, the more the related color will be selected in the color pool.
Those pics were captured while i was simultaneously drawing the path of the particles (the trails) and moving the camera around.
Personal visualisation project based on the Minimum House by Scheidt Kasprusch Architekten.
Interpretation of the design and interior, plus all modelling/rendering/post by James Lawley (some stock objects used...)
Rendered in V-ray 2.0 with post-production in Photoshop CS5 and a touch in Lightroom.
This Blue Tit was afraid of being left out as this Robin ate a few seeds from my head during recent cold spell.
The visualisation explores the major cases of deprivation of freedom of expression in the year 2012 according to the report "Writers in
Prison Commitee" by the organization "Pen International". For each of the thirty displayed countries we visualized the number and type of cases along with the gender and profession the person involved, their incidence on population, as well as limitations on freedom and stability.
We collaborated with the RNLI and produce a number of data visualisations to show just what the RNLI deal with every day and how location helps.
Find out more at www.ordnancesurvey.co.uk/blog/2018/11/tutorial-visualisin...
I wanted to compile a nice square thumbnailing of the different creative and innovative techniques to visualisation info/data.
each square is hyperlinked.
will probably keep adding when i get time.
visualisationmagazine.com/100datavis.htm
blogged with more compilation/gallery links here: visualthinkmap.blogspot.com/2009/10/100-of-best-data-visu...
Photographing carpet mock up installations can be an expensive exercise. By utilising design visualisation technologies (Adobe Photoshop and Sketchup) in combination with small inexpensive samples of carpet, cost savings can be made and photo realistic in situ product imagery can be generated for product design and promotional purposes. This is a stock photograph (not my photography) which I have utilised to insert a different carpet designs. The inserted textures, which were smaller than a square metre, were post processed with Adobe Photoshop to make them a seamless repeat pattern. Photoshop's off-set and high pass filters combined with content aware fill and the clone tool are essentials for this type of post processing. I then used Google Sketchup (now Trimble) to locate the perspective vanishing points in the interior image and to generate a floor plane of the carpet texture repeating into perspective. I also used the existing interior image carpet's shadow and highlight data to make the new carpet textures more photo realistic. I then combined the Sketchup generated imagery and interior photograph in Adobe Photoshop.