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Everybody got the demon in here, okay? The demon lives in here. It feeds on your hate -- it cuts, kills, rapes -- it uses your weak- ness, your fear... A little, uh, madness goin' on. I don't know. Death just -- death kinda becomes what you are. After a while, you begin to like it...
("Natural born killers" - Mickey Knox)
Edited European Space Agency image of the density of stars from data from the Gaia Mission.
Image source: www.esa.int/spaceinimages/Images/2018/08/Star_density_map
Original caption: The second data release of ESA’s Gaia mission, made in April, has marked a turning point in the study of our Galactic home, the Milky Way. With an unprecedented catalogue of 3D positions and 2D motions of more than a billion stars, plus additional information on smaller subsets of stars and other celestial sources, Gaia has provided astronomers with an astonishing resource to explore the distribution and composition of the Galaxy and to investigate its past and future evolution.
The majority of stars in the Milky Way are located in the Galactic disc, which has a flattened shape characterised by a pattern of spiral arms similar to that observed in spiral galaxies beyond our own. However, it is particularly challenging to reconstruct the distribution of stars in the disc, and especially the design of the Milky Way’s arms, because of our position within the disc itself.
This is where Gaia’s measurements can make the difference.
This image shows a 3D map obtained by focusing on one particular type of object: OB stars, the hottest, brightest and most massive stars in our Galaxy. Because these stars have relatively short lives – up to a few tens of million years – they are mostly found close to their formation sites in the Galactic disc. As such, they can be used to trace the overall distribution of young stars, star formation sites, and the Galaxy’s spiral arms.
The map, based on 400 000 of this type of star within less than 10 000 light-years from the Sun, was created by Kevin Jardine, a software developer and amateur astronomer with an interest in mapping the Milky Way using a variety of astronomical data.
It is centred on the Sun and shows the Galactic disc as if we were looking at it face-on from a vantage point outside the Galaxy.
To deal with the massive number of stars in the Gaia catalogue, Kevin made use of so-called density isosurfaces, a technique that is routinely used in many practical applications, for example to visualise the tissue of organs of bones in CT scans of the human body. In this technique, the 3D distribution of individual points is represented in terms of one or more smooth surfaces that delimit regions with a different density of points.
Here, regions of the Galactic disc are shown with different colours depending on the density of ionising stars recorded by Gaia; these are the hottest among OB stars, shining with ultraviolet radiation that knocks electrons off hydrogen atoms to give them their ionized state.
The regions with the highest density of these stars are displayed in pink/purple shades, regions with intermediate density in violet/light blue, and low-density regions in dark blue. Additional information from other astronomical surveys was also used to map concentrations of interstellar dust, shown in green, while known clouds of ionised gas are depicted as red spheres.
The appearance of ‘spokes’ is a combination of dust clouds blocking the view to stars behind them and a stretching effect of the distribution of stars along the line of sight.
An interactive version of this map is also available as part of Gaia Sky, a real-time, 3D astronomy visualisation software that was developed in the framework of the Gaia mission at the Astronomisches Rechen-Institut, University of Heidelberg, Germany.
Further details including annotated version of the map: Mapping and visualising Gaia DR2
Id 397431
To celebrate the 25th anniversary of the fall of the Berlin Wall, an extraordinary light installation – The LICHTGRENZE (The Border of Lights) – was created, following the former route of the so-called Berliner Mauer.
From the 7th – 9th of November 2014 the 15.3 kilometer frontier that once divided the city center was re-imagined in light by thousands of illuminated balloons. Running through the center of Berlin, from Bornholmer Straße to the Oberbaumbrücke, the installation will stretch past the Mauerpark, along the Berlin Wall memorial on Bernauer Straße through to the Brandenburg Gate, over Potsdamer Platz to Checkpoint Charlie and on to the East Side Gallery. In the evening of the 9th of November 8000 helpers were releasing the balloons into Berlins night sky.
The brothers Christopher Bauder and Marc Bauder conceived the idea of the LICHTGRENZE in 2011, supported by the Robert-Havemann-Gesellschaft e.V. and developed with the help of Kulturprojekte Berlin GmbH. Christopher Bauder and his design studio WHITEvoid also developed and produced the 8000 battery powered light elements. The LICHTGRENZE is part of the anniversary celebrations being organized by Kulturprojekte Berlin GmbH as part of an initiative from the city of Berlin.
Please watch a visualization of the LICHTGRENZE project here:
vimeo.com/whitevoid/lichtgrenze
For any media or press inquiries, please contact us at press@whitevoid.com
WolfVision VZ-8 Visualizer: presentation system used in universities and businesses worldwide. www.wolfvision.com
Visualization of Flickr geotagged photos, uploaded between 2007 to 2015 and geotagged with the highest accuracy (street-level). I generated a number of different visualizations.
Visible from 'space': the Camino de Santiago in Spain!
Created as part of my research project (maps.alexanderdunkel.com).
Geocoding and visualizing dad's flight log data. GeoTIff and kml reprojection done with TileMill. More info and how-to here: raph.ae/2014/04/how-to-geocode-and-visualize-flight-paths...
Original image by Marc Imhoff of NASA GSFC and Christopher Elvidge of NOAA NGDC, Craig Mayhew and Robert Simmon, NASA GSFC. visibleearth.nasa.gov/view.php?id=55167
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.
Another way to discover interesting people is to look at your friend's friend list: www.neuroproductions.be/twitter_friends_network_browser/
Beginning Python Visualization: Crafting Visual Transformation Scripts
by Shai Vaingast
Seen at University of Washington Book Store and subsequently I bought this on my Kindle, it is a well written introductory book, I am amazed what you can do with the Python language.
sea 031
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
---------------
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.
OSTIA ARCHEOLOGIA e RESTAURO ARCHITETTURA: Lecture - Dr. Luke Laven, Visualizing the late Antique City - Port of Ostia as seen by Saint Augustine | Visualizzazione della tarda Città Antica - Porto di Ostia vista da Sant'Agostino. A.U.R., Roma 16:30 (01/03/2019).
-- Ostia - Lecture - Dr. Luke Laven, Visualizing the late Antique City - Port of Ostia as seen by Saint Augustine. American University of Rome, 16:30 (01 March 2019).
-- Ostia - Conferenza - Dr. Luke Laven, Visualizzando la tarda città antica - Porto di Ostia visto da Sant'Agostino. American University of Rome, 16:30 (1 marzo 2019).
Fonte | source:
Foto | fonte | source: © Will Foster Illustration (2015?), in:
--- Dr. Luke Laven, Ostia | Rome (01 March 2019).
visualisinglateantiquity.wordpress.com/workinprogress/
-- Prof. Paolo Liverani‎Topografia di Roma antica / Topography of Ancient Rome. FACEBOOK (24/03/2019).
Visualizing the various features of the SwiftRiver distributed reputation and veracity functionality.
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.
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.