View allAll Photos Tagged Visualisation
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
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.
Hostile and un inviting though they seem, deserts can be wonderfully rewarding for photographers. We visualise desert as vast arid wasteland but in fact most deserts are rich with life. This shot has been taken with large aperture (f2.8) to blur the whole background. Same shot with small aperture like f 16 or so also gives a nice feel to the picture. Its a matter of personal choice.
This Blue Tit was afraid of being left out as this Robin ate a few seeds from my head during recent cold spell.
Cover concept for Scarface.
The iconic actor Al Pacino is visualised in what has become one of the film's most memorable cinematic moments: the climatic balcony scene, "Say hello to my little friend". For years, the Al Pacino Scarface movie had adopted the two tone design that had been a hallmark of its design. Universal Pictures tasked Eye-D to explore the cult aspect of the movie and deliver a powerful cover for retail to embrace which was much less passive than its predecessor.
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.
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...
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.
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...
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)
Viva apartments visualizations created for Adele Bates' interior design project in Brighton.
Software used: 3ds Max, Corona and Photoshop
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.
Red means a drug is the most harmful in that category, green that it is the least. Data from Nutt et al, 2007.
Visualisation by Dr Andy Pryke, The Data Mine Ltd
*Background*
In March 2007, a paper on the dangers of different drugs hit the news headlines. The paper was "Development of a rational scale to assess the harm of drugs of potential misuse" by David Nutt, Leslie A King, William Saulsbury, and Colin Blakemore.
The paper measured the harmfulness of 20 substances on 9 different measures.
I transformed the data into a simpler to understand form. In the visualisation below, Red means most "danger", yellow indicated less of a problem and green the least harm. The grey square for "intravenous use of alcohol" indicates that no score was given for this. I also re-arranged the rows and columns so that similar drugs appeared next to each other. You can trace these similarities in the tree on the left.
For example, the red and dark orange rows across the centre of the diagram clearly show how heroin and cocaine are ranked as particularly dangerous across the board. However, at the bottom of the diagram, tobacco is particularly bad in terms of long term (chronic) effects and healthcare costs but much less harmful in terms of it's social and intoxicant effects.
I plan to visualise data from the 2010 paper once I get hold of it - if you can help, please let me know.
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.
El problema de la tecnología en Latinoamérica.
Diagrama basado en Oficio de Cartógrafo, Tecnología: innovaciones culturales y usos culturales, Jesús Martín Barbero.
The air in any small room with dimensions 18 x 18 x 9 feet (5.6 x 5.6 x 2.7 metres) contains 2.7 gallons (10 litres) of man-made carbon dioxide. Some of that gas – equal to the volume of a soda can – is attributable to Chevron.
2.7 gallons is about half the volume of a drinking water bottle. There is that much carbon pollution in every small room.
63% of all carbon emissions between 1850 and 2010 are attributable to just 90 producers of fossil fuels and cement. Chevron has the largest share of emissions for investor owned or state owned companies at 3.5% of all emissions ever. For details see: www.carbonmajors.org
The calculation for this visualisation assumes the concentration of carbon dioxide in the air is 400 parts per million by volume. See: www.co2now.org for the current concentration.
This is the US version of this visualisation. A metric version (calibrated to a 330 ml can) is also available.
We spent yesterday at the BBC RAD hackday and decided to visualise the radio listening data from Radio Pop - 1800 users with 24000 listen "events" from the start of September to now.
This shows everyone's listening. Each row represents a user, with time on the y-axis. Each pixel represents one hour of a day and it is coloured in if the user listened during that hour, the colour represents the radio network.
The curved line is because the users/rows are in order of registration, so those at the bottom joined Radio Pop later, and hence started listening later.
Download the full-res version and zoom in to see more detail. There are some interesting patterns of recurring listening and combinations of networks.
More info in this blog post
Visualisation of emails received in a subfolder using the Java based Processing toolkit.
The long lines separate years, each row is a separate email address, the length of the green is the size of the email.
Email data exported from Outlook into Access then filtered into text doc for reading by Processing. Contact me if you want the script.
Inspired by Alasdair Rae (www.undertheraedar.com/2015/10/glowing-lines-in-qgis.html) I used this method to present tracklog. Brighter places show slower walking speed indicating more windthrows
For her 80th birthday, media artist Waltraut Cooper made a visualisation for the media facade of the Ars Electronica Center with the coded word peace.
Fotocredit: Ars Electronica / Robert Bauernhansl
A best of Ars Electronica photos can be found here.
Ars Electronica Center Linz
Ars-Electronica-Straße 1
4040 Linz
Austria
Please cite as:
Blake, A., & Doherty, I. (2007). An instructional design course for clinical educators: First iteration design research reflections. Journal of Learning Design, 2(2), 83-104.
Available: www.jld.qut.edu.au/publications/vol2no2/documents/Blakean...
Dr. Kousalya Devi ( Amma ) is more than a mother to me. Dr. Kousalya Devi ( Amma ) was born in 16-06-1930. She passed away on April 24, 2025, at the age of 94.
If she was not there, I may not be alive today and might have been completely devastated. Her sincere efforts helped me in finding my parent’s photos after 25 years. It was because of Dr. Kousalya Devi amma, Thiru. V. Vijaya Shankar, Advocate, Highcourt of Madras and DE ( Legal ) Shri. Seetharaman, BSNL who took all the documents to Delhi BSNL Committee which was verified and my identification was recognised. I got posting in BSNL through compassionate appointment because of them. It was due to them, I am in a good position in BSNL.
She also brought life to thousands of children like me. We will never forget her and she will be in our hearts always.
( Interview of Shri. C. Nagendran BSNL in NewsTamil 24x7 - Dated:- 05-10-2024 )
www.youtube.com/watch?v=Y2Ly_euGfvk
youtu.be/GgOvcjSlA6Y?si=hH_LWz9Ij_NBI1Xr
C. Nagendran,
Instagram id:- @nagendran_c4777
Dated:- 25-04-2025 – Timing – 1:30 p.m
AMMA - THE MOM - The art work titled ‘ THE MOM ’ is dedicated to the Managing Trustee, of Children’s Home, Gandhigramam Trust Hospital, South India - Dr. Kousalya Devi Amma. She is fondly called by everyone as ‘ AMMA ’ – means ‘ MOTHER ’
She is the one who lifted me from the clutches of poverty, stagnation and helplessness which buckled me to the ground.
It is because of her great efforts, that I stand before you now, with pride – raising from dust.
She has been my guide and inspiration in expressing my love towards others, which has reflected in extending the same towards animals and nature.
I like to express my gratitude to her by doing this artwork with ‘ BEADS ’ . I also would like to Thank Mr. Premjith Mathew, former lecturer in Madras Christian College, Mr.L.Aswin Sridhar, ( Visualiser, Ogilvy and Mather ) for the designs in the computers, and Mr. Michael Jerald, IRS , who advised me regarding colour combination. Special thanks also to Mr. Chezhian, IELTS, & Mr.P.K. Ashok Babu, IFS, Mr. Paul Sundarraj, Charted Accountant, ITC, Chennai, who encourage me consistently in all my endeavors.
NAGENDRAN CHANDRASEKARAN
02 – 09 - 2014
Respected Sir
I would like to bring to your kind attention regarding my last posting of my art work. Actually I posted that art work because she was my Mother who saved my life and the life of many other children. She passed away last week on 24-04-2025 and since International mother's day will be observed in May i posted that art work in remembrance of my Mom. I apologize for posting such art work in your forum and I assure you I will not post such things in future. Thanks for your kind gesture
Regards
( Interview of Shri. C. Nagendran BSNL in NewsTamil 24x7 - Dated:- 05-10-2024 )
www.youtube.com/watch?v=Y2Ly_euGfvk
youtu.be/GgOvcjSlA6Y?si=hH_LWz9Ij_NBI1Xr
C. Nagendran,
Instagram id:- @nagendran_c4777
Dated:- 29-04-2025 – Timing – 1:05 p.m
The air in any small room with dimensions 5.4 x 5.4 x 2.7 metres (17.5 x 17.5 x 9 feet) contains 9.4 litres (2.5 gallons) of man-made carbon dioxide. Some of that gas – equal to the volume of a soda can – is attributable to Chevron.
9.4 litres is about half the volume of a drinking water bottle. There is that much carbon pollution in every small room.
63% of all carbon emissions between 1850 and 2010 are attributable to just 90 producers of fossil fuels and cement. The image shows the top 5 investor-owned or state-owned companies. Chevron has the largest share of emissions at 3.5% of all emissions ever. For details see: www.carbonmajors.org
The calculation for this visualisation assumes the concentration of carbon dioxide in the air is 400 parts per million by volume. See: www.co2now.org for the current concentration.
This is the metric version of this visualisation. A US version (calibrated to a 12 oz can) is also available.
The air in any small room with dimensions 5.4 x 5.4 x 2.7 metres (17.5 x 17.5 x 9 feet) contains 9.4 litres (2.5 gallons) of man-made carbon dioxide. Some of that gas – equal to the volume of a soda can – is attributable to Chevron.
9.4 litres is about half the volume of a drinking water bottle. There is that much carbon pollution in every small room.
63% of all carbon emissions between 1850 and 2010 are attributable to just 90 producers of fossil fuels and cement. Chevron has the largest share of emissions for investor owned or state owned companies at 3.5% of all emissions ever. For details see: www.carbonmajors.org
The calculation for this visualisation assumes the concentration of carbon dioxide in the air is 400 parts per million by volume. See: www.co2now.org for the current concentration.
This is the metric version of this visualisation. A US version (calibrated to a 12 oz can) is also available.