View allAll Photos Tagged Visualisation
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...
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.
What do you think to this image?
If you think anything could be changed for the better please let me know. I'd love to know your thoughts. Thanks
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)
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
Visualisation of x-ray data from the center of our galaxy.
Cropped and scaled to be used as a wallpaper.
Since it's not originally mine, I don't want any credit for it. I just like to bring it to attention because I think it looks absolutely stunning and at least on my screen it feels as if it had some kind of 3D effect due to the partial blur.
2560px wallpaper:
img864.imageshack.us/i/opo0928d2560.jpg/
Source:
www.spacetelescope.org/images/opo0928d/
Credit:
NASA, CXC, D. Wang (University of Massachusetts, Amherst, USA) and STScI
Copyright shouldn't be a problem (CC-by):
Viva apartments visualizations created for Adele Bates' interior design project in Brighton.
Software used: 3ds Max, Corona and 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.
Sketch of a visualisation of election results I'm working on in Processing. Full size is the way to go when looking at this one.
This is MKII, with the complete data for all 103 ridings. Much more still to do.
Each spoke is a riding. The total length of the spoke corresponds to the registered voters for that area. Colours represent the parties (red = Liberal, orange = NDP, blue = Conservative, green = Greens, white = independent plus other parties). The (scary long) grey at the outside of each spoke are the registered voters who didn't vote.
El problema de la tecnología en Latinoamérica.
Diagrama basado en Oficio de Cartógrafo, Tecnología: innovaciones culturales y usos culturales, Jesús Martín Barbero.
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
Half an apple is only half the story. I had a school teacher at primary school who got the class to meditate. We had to imagine an apple. I was able to easily visualise the apple - plump, red and juicy. He got us to imagine biting into the apple. He imagined us looking at where we had bitten into the apple and to see half a grub wriggling there. I saw, and felt and imagined I had swallowed that grub. In honour of vivid imaginations, the word goal of 25,500 on day 15 is dedicated to half apples, half stories and whole grubs!
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.
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
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...
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 10 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.
heat map of OpenStreetMap tile usage for 25 May 2015.
Data copyright OpenStreetmap contributors (data from here).
Only shows tiles at zoom level 9... higher zoom levels (like 15-17) would give a better indication of possible editing activity.
Darker areas are more requested tiles. Done using deciles of the natural logarithm of number of tile requests
Used a short (<50 line) python script to convert the tile log (which is essentially a csv file) into another csv file with wkt for each tile's geometry added as a field. This was then brought into QGIS as a wkt delimited file. Simpler to do this than to mess around with creating shapefiles :)
Can see HOT humanitarian mapping hotspots in Nepal and the Phillipines.
There's a hotspot around (0,0), and an interesting great circle fragment over Russia, which might be someone panning on a globe?
Interesting to see that most of the inhabited parts of the world are being served
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 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. The image shows the top 10 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 US version of this visualisation. A metric version (calibrated to a 330 ml can) is also available.
Having obtained a rather good and large dataset from the recently instated Greek geodata portal, i was looking for a way to quickly visualise its extent.
I admit to having in my mind those images you sometimes see at doctors practices, where, for example, they would have posters of the muscular or circulatory system, trying (a bit harder than i would feel comfortable with) to convince you of their...interests.
Fortunately, each road segment had a characterisation field attached to it so it was relatively easy to "paint" the highways thicker than smaller streets within populated areas.
The slight detail here is that the thickness of the "arteries" is decreased following a power-law...a little trick that was inspired by the circulatory network itself.
This image appears in this blog post (in Greek, you have been warned :-) ) which talks briefly about road safety in Greece....Yeah, sometimes the street is literally bloody...
Nice visualisation of my twitter group, and how they're connected. Great for illustrating the depth of the conversation, and striking how few companies are on there. It's almost exclusively individuals. Blog post here:
philwhitehouse.blogspot.com/2008/05/twittering-for-busine...
The folks at the Medical Visualisation Network have set up offices in Second Life. Currently, it features some info boards, and some rather dramatically scaled pix of illustrations.
"...this Network presents a national focus for the development of new interactive visualisation techniques for teaching, training, surgical rehearsal and pre-operative planning. ..."
Looks like the right sort of folks coming into Second Life, hope it will be interesting!
Knoh Oh
Second Life Healthcare Tourist
john-norris.net
Graphics included:
Light Bulb: pixabay.com/en/bulb-light-lamp-idea-electricity-29050/
Brain: pixabay.com/en/brain-thought-biology-human-think-146578/
Grapes:
pixabay.com/en/grape-fruit-diagram-crosssection-41636/
Cloud:
pixabay.com/en/cloud-weather-meteorology-climate-303182/
Graph
pixabay.com/en/pie-chart-dimensional-circle-grey-27157/
Blackout Poetry
flickr photo by Cat Sidh flickr.com/photos/cat-sidh/21017454389 shared under a Creative Commons (BY-NC-SA) license
Infographic:
flickr photo by MrGuilt flickr.com/photos/bontempscharly/12882043833 shared under a Creative Commons (BY) license
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.
The technology in the tutor's control console consists of a PC and Visualiser connected to an overhead projector. The trolley and tables in the room have wheels so that they are easily moved, making the space more flexible. The tables can be folded and easily stored.
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. The image shows the top 10 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 US version of this visualisation. A metric version (calibrated to a 330 ml 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. The image shows the top 10 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.