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A quickie concept illustrating the possible for visualizing whole genome alignments with genomic annotations and related tracks.
Little too faded
Illustrative Visualization of a german climate change adaption research network – using processing and a metaball force field fpr moving agents
This visualization shows 1 million Manga pages sorted by their visual characteristics.
Software: imagej macro written by Lev Manovich
X = standard deviation
Y = entropy
this produces the following map:
horizontal dimension:
the pages on the left progressively haver fewer grey values; the pages on the right have a both black and white
vertical dimension:
pages at the bottom have only black and white
pages on the top have more grey / more detail / more realism
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As we can see, the stylistic space of Manga does not have any distinct clusters. Visualization allows us to describe such a space much better than discrete linguistic categories.
The two visual features chosen for this visualization describe only some dimensions of visual style in Manga - however in terms of these dimensions, we can state this:
the concept of "style" (as a set of distinct categories used to describe a set of objects) may turn out to be meaningless
then we analyze enough objects, their variability can be better described using a continuous function
(our present research in Manga user-generated genre tags is suggesting that the same may apply for genre categories)
therefore visualization is a better language for describing cultural variability than natural languages
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Note that some of the pages - such as all covers - are in color. However in order to be able to render image at this size (the original is 44,000x44,000 pixels - scaled to 10,000x10,000 for posting to Flickr), we rendered everything in grey scale.
Finally, because pages are rendered on top of each other, you don't actually see 1 million of distinct pages - rather visualization shows a distribution of all pages with typical examples appearing on the top.
Richard Nieman, Global Medical Officer; Senior Vice-President, Teva Pharmaceutical, USA capture during the Session: "Visualizing Disease" at the World Economic Forum - Annual Meeting of the New Champions in Dalian, People's Republic of China 2017. Copyright by World Economic Forum / Sikarin Fon Thanachaiary
Yantram is 3d product designing Company - 3D Product Modeling, 3D Product Design, 3D Product images, 3D Furniture Design, 3D Product Visualization, Outsource 3d product design India.
3d-walkthrough-rendering.outsourcing-services-india.com/3...
This is another interactive visual analysis tool constructed for the Local Experiences of Automobility project. It consists of two primary views on the data--the upper timeline, showing all the drives that a participant made during the study period, and a collection of three timelines showing the details about the drive.
Frontop supplies 3d architectural rendering, architectural visualization, architectural walkthrough, etc.
Kiva has quite a few API and SQL interfaces for grabbing data and visualizing it. Actually makes the whole process all the more interactive.
Distorted by population ( over 3 years ) of 2011 Census Detailed Characteristic areas.
This is my first output from ScapeToad on the High Quality setting. Inspired by the Referendum Result Cartogram published by Heikki Vesanto
The distortion in this case is so high for the peripheral areas that the shading becomes very difficult to interpret. Near Inverness you can see some areas with higher percentages and around the Clyde you can see the 'Glasgow Gaels'. The distortion is so great it makes it hard to visually relate these polygons back to the original Detailed Characteristic areas they represent.
I think it provides an interesting counterpoint to the previous map where you had large areas of the highlands shaded darker but in national population terms these areas are not as significant as they appear on a conventional map.
The areas sizes are a best attempt to match population size while keeping the same bordering areas, each polygon has a size error associated with it.
For the Detailed Characteristic areas I don't think this is a great way of visualizing Scotland because it seems to over emphasize areas which are contiguous and have many neighbours.
A visualization of 1 million Manga images on 287 megapixel HIPerSpace on supervisualization system at Calit2, San Diego.
This photo: Jeremy Douglass (Post-doctoral researcher, Software Studies Initiative) and Florian Wiencek (Jacobs-University, Bremen)
3d-walkthrough-rendering.outsourcing-services-india.com/3...
Custom 3D Walkthrough and architectural rendering can deliver an emotional and immerse experience unlike any other pre-sales marketing tool. From the color of a candle on the bathtub to the leaves on a rare tropical plant, 3D Walkthrough will with high resolution 3d rendering create a presentation that will demonstrate your vision down to the smallest detail.
Photo of a Man on Sunset Drive: 1914, 2008
by: Richard Blanco
And so it began: the earth torn, split open
by a dirt road cutting through palmettos
and wild tamarind trees defending the land
against the sun. Beside the road, a shack
leaning into the wind, on the wooden porch,
crates of avocados and limes, white chickens
pecking at the floor boards, and a man
under the shadow of his straw hat, staring
into the camera in 1914. He doesn't know
within a lifetime the unclaimed land behind
him will be cleared of scrub and sawgrass,
the soil will be turned, made to give back
what the farmers wish, their lonely houses
will stand acres apart from one another,
jailed behind the boughs of their orchards.
He'll never buy sugar at the general store,
mail love letters at the post office, or take
a train at the depot of the town that will rise
out of hundred-million years of coral rock
on promises of paradise. He'll never ride
a Model-T puttering down the dirt road
that will be paved over, stretch farther and
farther west into the horizon, reaching for
the setting sun after which it will be named.
He can't even begin to imagine the shadows
of buildings rising taller than the palm trees,
the street lights glowing like counterfeit stars
dotting the sky above the road, the thousands
who will take the road everyday, who'll also
call this place home less than a hundred years
after the photograph of him hanging today
in City Hall as testament. He'll never meet
me, the engineer hired to transform the road
again, bring back tree shadows and birdsongs,
build another promise of another paradise
meant to last another forever. He'll never see
me, the poet standing before him, trying
to read his mind across time, wondering if
he was thinking what I'm today, both of us
looking down the road that will stretch on
for years after I too disappear into a photo.
Same deal as the last few, except all schedule deviations for the notorious number 7 bus are highlighted in red.
Pygmee, Paris Café, Priest, Pakistan Warbird - images sent to my group www.flickr.com/groups/abc-visualized for the letter "P" - 1. Last Baka pygmee tribe?, 2. A la terrasse du café, 3. Eugen Drewermann, 4. IMG_9294
How to visualize memory usage on Linux
If you would like to use this photo, be sure to place a proper attribution linking to xmodulo.com
Mike Moradi, Founder and Chief Executive Officer, Sensulin, USA; Young Global Leader capture during the Session: "Visualizing Disease" at the World Economic Forum - Annual Meeting of the New Champions in Dalian, People's Republic of China 2017. Copyright by World Economic Forum / Sikarin Fon Thanachaiary
quick fluxus script visualizing email data flow for the hungarian freedom not fear 2008 event against the eu data retention directive.
wiki.vorratsdatenspeicherung.de/Freedom_Not_Fear_2008/Bud...
U – Silk City
Project information
Location: Le Van Luong Road, Van Khe Ward, Ha Dong district, Hanoi
Type: Residential Building
Investor: Song Da – Thang Long Joint Stock Company
Total area: 9.2 hectares
Total investment: 10,000 billion VND
Building start date: November 2008
Building finish date: December 2013
Product by E5:
- Ariel visualization.
- Interior visualization.
- 3D Floor Plan
- Brand Identity Package.
- Catalog
- Signage Design for Model House
The 3D project completed in June 2010.
Y axis: incident energy per square meter as measured at the University of Washington, in joules per square meter. The top line, 30000000 J/m^2, is about 8.3 kilowatt-hours per square meter.
X axis: day of year
The same is composed of minutely recordings at the UW between Jan 1 2006 and Jan 1 2010.
A few features pop out to me. First, it's interesting to note that through December to the end of January, insolation around 1 MJ/m^2 is not uncommon, a factor of 25 less than a typical insolation of 25 MJ/m^2 in July. The average household uses about 110 MJ/day. To power a household during the summer would take only about 4 square meters of (100% efficient) panels, during winter an average household would require over 100 square meters of (impossibly efficient) panels, or a square ten meters on a side.
This graph also shows the characteristic cloud cover at different times of year. A greater spread indicates more clouds. A tighter grouping towards the top of the graph indicates clear weather. It's more cloudy in winter, and the sun comes out reliably between the summer solstice into late October.
Finally, total energy input at ground level is a metric with one of the greatest level of spread because it's influenced by a combination of two properties that move together - the total sunlight time and the angle of sunlight. As a result, whereas both the angle of sunlight and total sunlight hours might seem to improve painfully slowly through the spring, the total insolation is really hopping to new highs every couple of days. If you're a SAD-sufferer looking for hope through January and February, keep your eyes on this metric.
The script is here: gist.github.com/761474
David Cook, Chief Clinical and Operating Officer, Jiahui Health, People’s Republic of China capture during the Session: "Visualizing Disease" at the World Economic Forum - Annual Meeting of the New Champions in Dalian, People's Republic of China 2017. Copyright by World Economic Forum / Sikarin Fon Thanachaiary
A visualization to use for my Ed.D. thesis - I'm not convinced that New Literacies is where it's at.
You can read my thesis as I write it at dougbelshaw.com/thesis :-)
(24-6-11-Cyberspace / I've had to tiddy-up)
The reason for calling the images on this Flikr set snapshots is simple: they try to capture the essence of a live network. It is constantly growing and shifting -and new information keeps completing the imperfect image all the time.
The left side of this image represents how the graph looked like yesterday. On the new network diagram to the right, you can see that the International presence has been placed in a square and moved to the opposite side. This positioning is irrelevant in a way, because the best manner of visualizing the network would be in 3D.
The Green dots all represent buses from the #CaravanaMX. The blue dots are coordination nodes for the Movement and the ones on the outskirts of the graph represent hash-tags. Light blue nodes are Twitter accounts and some follow the green buses because they were ridding on them.
Red dots are also hash-tags, but I would say of a much more public nature. The red dot at the right side of the new graph, for example, represents #CaravanaVirtualMX which was another way people followed the trip.