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A old audio visualisation work. I actually use this to choose tracks that work well with the Hoxtron project ( www.play-create.com/id.php?016 ).
This song - Boards Of Canada 'Amo Bishop Roden'
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.
How accurate have UK opinion polls been in recent years? Are some polls more accurate than others? Are they getting more exact as the technology gets better? Can I make a pretty image out of these questions?
See if you can spot any patterns.
Visualisation for The Guardian
www.guardian.co.uk/news/datablog/2010/may/06/general-elec...
Data here
spreadsheets.google.com/ccc?key=0Aqe2P9sYhZ2ndGlaWDJQMVN2...
More visualisations here
This I hope gives you a feel of what it feels like in an earthquake.
When you spend your whole life thinking that you and your home are built on solid ground, it can be quite a shock when you find it is not. You can feel the house shaking like a dog with a toy, rising up violently underneath you or the most gentle form which is when the ground moves gently like a wave moving under a rowing boat.
It is not just the movement, you often get a rumbling sound which can precede a violent shake or can result in no movement at all. This means that some vehicles can sound like the rumbling initially and in the early days would get your heart racing. Another form of stress is when big excavators as heavy as a tank move as you can feel the ground shake from streets away, but you do not always hear the engine.
For most of us the problem when the shaking starts, is wondering if this is the start of an extremely violent earthquake or will it peter out.
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.
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
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.
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
This Blue Tit was afraid of being left out as this Robin ate a few seeds from my head during recent cold spell.
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.
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...
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
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.
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.
the headband isn't real.. something for a jewellery project visualisation. I used photoshop's puppet warp function to wrap two pieces of fabric with ripples at either end around my head, and then the printer ran out of ink so this is a scan of how the print came out. I really like the gradient.
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...
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...
Created by Professor Alasdair Rae using OS OpenData. Find out more at: www.ordnancesurvey.co.uk/blog/2020/05/scottish-highlands-...
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.
3D heatmap of AirBnB properties in Edinburgh, using data from InsideAirBnB. Data processed in QGIS (Heatmap render, exported to PNG) and used Blender 2.79 to render.
In reality almost all of Edinburgh has some AirBnB. To increase clarity and make it easier to identify areas on the map I raised the map vertically to obscure the 'low density' areas.
Note, this is a 3d representation of a heatmap. It is a "probability surface" - not an absolute count of the number of properties. The higher the 'terrain', the more likely you are to find an AirBnB property there (or rather, within 20 meters, which is the kernel radius)
Blender notes: heightmap is a mixture of transparent and toon shaders, using input layer fresnel to mix the two, and color ramp on z axis. Adaptive micro-displacements, 0.1 px dicing scale.
It shows the major areas appear to be around the Old Town/Royal Mile, Leith Walk, Tolcross and Easter Road.
Using map tiles from OpenStreetMap, CC-BY-SA.