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Some shots from my Mac visualizer.

screenshot of the iTunes visualizer

A very cold Winter's day.....

Dodge Park parking

Sterling Heights, Michigan

Some shots from my Mac visualizer.

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).

 

Here's a blog entry with more info.

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

Some shots from my Mac visualizer.

DNA sequence alignment data shown on the TACC Visualization Wall.

Another way to discover interesting people is to look at your friend's friend list: www.neuroproductions.be/twitter_friends_network_browser/

Visualizations from the IdeasLab at the Annual Meeting of the New Champions in Tianjin, People's Republic of China 2018. Copyright by World Economic Forum / Faruk Pinjo

3D Visualization of a room, just test render again i'll post the fnal renderings soon :D

 

This was my submission to MIT's "Art of Astrophysics" competition this year.

 

It takes 1000 years of data calculated to show what the radial velocity of an alien measurement would be if they were looking for exoplanets around our own sun.

 

Lighter areas on the edges show radial velocities slowing down as they reverse direction.

 

More information on the measurement technique here:

 

en.wikipedia.org/wiki/Radial_velocity

 

Many thanks to the MIT Astrophysics department for providing me with the calculations and data to create this, specifically Kevin Schlaufman and Zach Berta-Thompson.

A more complete version of my UN general assembly voting visualization. Each line is a country. Red lines are Africa, Green are Europe, Blue are Asia, Orange are N. America, Yellow are S. America, Purple are Oceania. A yes vote makes the line continue on a tight curve around the centre, a no vote puts them into a spiral farther from the centre, and an abstain or absence makes the line go straight out from the centre. Every absence reduces the alpha of the line by 10, so countries like the Central African Republic, which never show up, quickly vanish.

UK General Election History displayed through multiple visualizations.

Highlighting election results through Line graphs.

A map of recent orders at Wayfair.

From: www.connectedaction.net

 

Top Twitter users who recently tweeted the word poken when queried on May 8, 2011, sorted by betweenness centrality.

 

A visualization of the network map is here: www.flickr.com/photos/marc_smith/5701874131/sizes/o/in/ph...

 

Top most between users:

@pokenafrica

@pokenco

@spsonic

@timnjiru

@bederson

@pokenkenya

@from_yamagata

@phswiss

@clifflampe

@pokencape

 

Graph Metric: Value

Graph Type: Directed

Vertices: 250

Unique Edges: 398

Edges With Duplicates: 173

Total Edges: 571

Self-Loops: 0

Connected Components: 116

Single-Vertex Connected Components: 94

Maximum Vertices in a Connected Component: 106

Maximum Edges in a Connected Component: 474

Maximum Geodesic Distance (Diameter): 12

Average Geodesic Distance: 4.233193

Graph Density: 0.007614458

 

NodeXL Version: 1.0.1.167

 

NodeXL is free and open and available from www.codeplex.com/nodexl

 

NodeXL is developed by the Social Media Research Foundation (www.smrfoundation.org) - which is dedicated to open tools, open data, and open scholarship.

 

The book, Analyzing social media networks with NodeXL: Insights from a connected world, is available from Morgan Kaufmann and from Amazon.

 

Marc Smith on Twitter.

 

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.

 

Some shots from my Mac visualizer.

pathfinding algorithm is reversed, examining longest paths first instead of shortest paths.

Harajuku, Tokyo, Japan

A small group of visual kei cosplayers in front of Harajuku st.

Kentucky Summer Classic in Lexington, Kentucky.

Some shots from my Mac visualizer.

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.

Visualize your Awning with 3D Animation!

 

ahoffmanawning.com/

 

Link back to Gallery: www.flickr.com/photos/hoffmanawning/sets/

 

Hoffman Awning Baltimore Maryland

5113 Belair Rd.

Baltimore, Maryland 21206

 

410-685-5687

E-mail: info@ahoffmanawning.com

5113 Belair Rd.

Baltimore, Md. 21206

 

Some shots from my Mac visualizer.

Visualizing the various features of the SwiftRiver distributed reputation and veracity functionality.

 

swift.ushahidi.com

Yantram 3D Architectural Visualization, Architectural Presentations provides 3D Architectural Rendering and 3d Architectural Illustration services.

 

Frontop supplies 3d architectural rendering, architectural visualization, architectural walkthrough, etc.

www.frontop.com

Kiva has quite a few API and SQL interfaces for grabbing data and visualizing it. Actually makes the whole process all the more interactive.

A lucky find in Cottonwood, AZ today. They have a website and an 800 number.

Submitted by: mayank jain

Country: India

Organisation:

 

Category: Amateur

Caption: To see the unseen - Indirect Ophthalmoscope used to visualize retinal status pre cataract surgery

 

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Photo uploaded from the #EyeCareEverywhere Photo Competition (photocomp.iapb.org) held for World Sight Day 2018

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