View allAll Photos Tagged Visualisation
Visualisation on my art photography on the wall.
Art Studios999 Burton on trent.
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- Data source:
ARTAS (Air traffic management surveillance tracker and server),
4002 unique flights extracted from 3 million GPS tracking points
- Software:
QGIS 3.2.1
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.
A Stereo visualisation:
astroanarchy.zenfolio.com/f359296072
Original post from my Blog:
astroanarchy.blogspot.com/2010/02/planetary-nebula-pk-164...
Nebula in natural color. Narrowband channels are mixed to match visible
spectrum. Red=80% H-alpha+20% S-II, Green=O-III and Blue=80% O-III+20% H-alpha to compensate otherwise missing H-beta.
Processing work flow:
Image acquisition, MaxiDL v5.07.
Stacked and calibrated in CCDStack.
Deconvolution with a CCDSharp, 30 iterations.
Levels, curves and color combine in PS CS3. -
Telescope, Meade LX200 GPS 12" @ f5
Camera, QHY9
Guiding, SXV-AO @ 9Hz
Image Scale, 1,5 arcseconds/pixel
-
Exposures
H-alpha 32x1200s, binned 2x2 and 7x1200s, binned 3x3 = 13h
O-III 2x600s, binned 4x4 and 1x1200s, binned 4x4
S-II 3x600s, binned 4x4 and 1x1200s, binned 4x4
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.
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
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
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.
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
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.
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)
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
"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.
This Blue Tit was afraid of being left out as this Robin ate a few seeds from my head during recent cold spell.
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...
The ability to acknowledge and express the degree of our emotional hurt/pain is an essential step towards the healing process. This flower bud could be a wonderful visual aid in expressing emotions of a wounded heart.
The pink hue around it is a visualisation of healing this pain . Gentle pink is a soothing and relaxing colour and to many it's seen as a colour of healing and unconditional love. Visualise this colour gradually and completely enveloping and healing the wounded heart - bringing feelings of joy, happiness, love and affection back into your life.
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.
On this January 6 flare, the flare structure is not visible using the AIA 131 filter, but it is when we look at the March 7 flare with the same filter. In contrast, the structure of the January 6 flare becomes visible when we use the AIA 304 filter, which reveals regions of the Sun at lower temperatures, between 40,000 and 60,000 degrees. The AIA 131 filter, which reveals solar activity at around 10,000,000 degrees, is better at visualizing the intensity of a flare than its structure. This is why more intense flares can appear as areas of intense luminosity with no clearly defined structure. In contrast, the AIA 304 filter, which is sensitive to temperatures between 40,000 and 60,000 degrees, can better reveal the structure of flares, as regions at these temperatures are less likely to be saturated by the intense energy released during a flare.
This image shows an approximative comparison between the Earth and the Sun. The Sun is about 109 times the size of the Earth.
This rough comparison shows more the intensity of an eruption on January 6, 2023.
In this image, the northern hemisphere is up and the southern hemisphere down.
This image is in false colors. Combination with AIA304, AIA171 and AIA 131.
Observed by SDO on January 6, 2023 at a wavelength of 304 A, 171 A and 131 A.
The wavelength is ultraviolet for the sun. Earth is in visible light.
Sun credit : NASA/SDO and the AIA, EVE, and HMI science teams.
Earth credit : JAXA/ISAS/PSI - Processing : Thomas Thomopoulos
Edition, choice of filter combination and colorisation, composition with Earth and post process : Thomas Thomopoulos
Visualisation and process of SDO image with Jhelioviewer
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.
Visualisations of how the Bone Smocking, Box Pleat trim manipulation and Pin Tuck sampling, carried out to contextualise how my concept research translated into three dimensional fashion structures, could be combined and worn when placed on the body.
workshop with a handful of startups on story development, storytelling and strategy. find more information via www.valentinheyde.de - workshop tools, workshop locations and thoughts about my work you find on our new blog: bit.ly/kmfrtznn (German only)