View allAll Photos Tagged Visualize
Good grief...!!! This reminds me of the walls of my room growing up. We weren't allowed to put posters up, but I won a B&W poster of Tarzan at the State Fair and it was all over from there. By the time I moved out, my room was one giant Vision Board with the walls and ceiling completely covered!
I did my first Vision Board when I was 10. You know me, I still have it somewhere. It is all about women's fashion a la 1970 and is on purple construction paper. This was before I knew I would have a purple room and spend many years of my career in women's and men's fashion. So there must be something to the concept of a Vision Board and the achievement of one's future dreams.
Now, my Vision Board isn't so much about having material things. That's ok and I already have enough things. It's more about how I aspire to be and the time I would like to have to do it all.
In the instructions, they say to not worry about being artistic. How do you tell an artistic person to not be artistic...lol? And they say to put it in a place where you can see it often. So there you have it!
Now, I've got to go clean my room. Or NOT!!!
Thank you, Joe for letting me use the pic of me. One reason I love this pic is because it was taken in front of the statue of Columbus. Someone who had a definite vision of where he wanted to go. . .
Please!! NO Awards or Large Graphics...Group Buddy Icons are OK. Thank You!
© CPMcGann. All rights reserved. If you are interested in using my images, please contact me first.
Maps of racial and ethnic divisions in US cities, inspired by Bill Rankin's map of Chicago, updated for Census 2010.
Red is White, Blue is Black, Green is Asian, Orange is Hispanic, Yellow is Other, and each dot is 25 residents.
Data from Census 2010. Base map © OpenStreetMap, CC-BY-SA
I was astounded by Bill Rankin's map of Chicago's racial and ethnic divides and wanted to see what other cities looked like mapped the same way. To match his map, Red is White, Blue is Black, Green is Asian, Orange is Hispanic, Gray is Other, and each dot is 25 people. Data from Census 2000. Base map © OpenStreetMap, CC-BY-SA
Maps of racial and ethnic divisions in US cities, inspired by Bill Rankin's map of Chicago, updated for Census 2010.
Red is White, Blue is Black, Green is Asian, Orange is Hispanic, Yellow is Other, and each dot is 25 residents.
Data from Census 2010. Base map © OpenStreetMap, CC-BY-SA
After seeing Cooper Smith's visualizations of data from runners in New York City, I wanted to see what similar data sets would look like for other cities. Nike+ doesn't have public GPS logs, but MapMyRun does, if you are willing to spend several hours clicking through search results to hit the "Download" buttons, so that's what I did to get the tracks for these 771 runs (from June 13 through August 9) in San Francisco.
As Open Source Planning has pointed out, uploaded runs come from a fairly small, self-selected group of people, the most obvious result of which is the total absence of the southeastern corner of the city from this map. It is also a very self-conscious process, so it is biased toward intentional, and often intentionally difficult, trips made for their own sake, and away from the repetitive patterns of everyday life.
Unfortunately the MapMyRun tracklogs do not have date and time stamps, so it is not possible to do the time of day, pace, and interruption analyses that Cooper Smith did. I should have done direction of travel, though.
Kunal Anand was kind enough to do some crazy ass Python/Processing hack to create a cluster of all my tags and how they interoperate. Looks cool and cloudy.
Street-Scape aims to visualize the density of the people and their movement speed in the urban space.
The walking direction of people in the street is plotted in one direction to make their relative distances between each-other more apparent. All static objects are blurred creating an ambience of the environment while making the moving ones more visible. The people walking 5km/h have original proportions. Everyone moving faster is thinner and everyone slower respectively wider.
Street-Scape renders the people anonymous while revealing their demographic qualities such as their approximate age and gender. Thus, showing the relative amount of children, grown-ups, older people, bikers, etc in a particular place during the visualized time.
ARY Studios is one of the leading architectural rendering companies in India. We are expert in 3d architectural modeling, 3d floor plans, 3d walkthrough, animation,Industrial and Medical Animations, 3d realistic rendering, 3d landscape design and panorama 4D view. Our services crossed the boundary of India, we out source our services to clients like architect, builder, interior designer, landscape architect, property developer, etc.we are specialized in photo real architectural and interior 3d visualizations for commercial and residential projects. our goal is to meet your request and create a positive experience.
We also provide stereoscopic 3d renderings to be seen using anaglyph red/cyan goggles.We also provide high end 3d interactive walk-through so that our clients can walk through the campus using keyboard and mouse.ARY Studios is one of the best architectural rendering company in india and abroad.
Please visit our website www.arystudios.com
Our Blog : arystudios.wordpress.com/
Our gallery: plus.google.com/u/0/photos/110759821190777486289/albums/5...
OR Follow us on : twitter.com/ARY_Studios
We specialized in photo real architectural and interior 3D Visualizations for commercial and residential projects. We provide this services through Still images. We are expert in 3d architectural modeling, 3d floor plans, 3d walkthrough, animation,Industrial and Medical Animations, 3d realistic rendering, 3d landscape design and panorama 4D view. We also provide stereoscopic 3d renderings to be seen using anaglyph red/cyan goggles.We also provide high end 3d interactive walk-through so that our clients can walk through the campus using keyboard and mouse.ARY Studios is one of the best architectural rendering company in india and abroad. Our goal is to meet your request and create a positive experience.
I had a goal to walk 5000 km (3107 miles) in 2015. I ended up exceeding my goal as I covered 5016 km (3117 miles) in 2015. This meant I needed to average 13.7 km (8.52 miles) a day. I would track my mileage every day.
Fitness2015histo
Peaches - 51st and Sheridan, Tulsa, OK - Despite the fact that the building is currently painted blue, and my skills in Photoshop leave much to be desired, I've made a crude attempt at a rendition of what Peaches looked like back in 1981.
I can't find a single picture of a Peaches to refer back to...so sorry if it's really off. It looks a lot like I remember it, though.
Artwork was commissioned by the chain to a group from California. They would hand-paint the large album cover panels, which would be mounted on the building for 6-months stints. After that, they moved to the interior walls until they sold. Anyone have one of these to brag about?
Who's going to be first to correctly name these albums?
This is a visualization of the frequency of occurrence of the words 'internet' , 'web', and 'twitter' in the New York Times, from 1990 - 2008.
Built with Processing (http://www.processing.org)
Prints from this and other NYTimes visualizations are available on my Etsy store: blprnt.etsy.com
For a Rinko setup, the frame needs to simultaneously rest on the hind-edge of the saddle as well as both rear frame drop outs, without damaging the rear derailleur assembly. As you can see, the rear derailleur sticks out somewhat.
I've been having some issues with our MoMA-bound Cabspotting visualization lately, and, as is often the case, ended up having to create another visualization just to figure out what the problem was.
Each of the white dots represents a discreet data sample–the location of a specific cab at a particular time. Here, samples for each cab are placed on a separate row and arranged temporally from left to right. More "active" cabs (i.e., the ones with more available samples) are placed at the top.
The green and red marks at the top represent the start and end times of the displayed period. For each cab, an algorithm seeks through the list of segments between each sample that fall within them. The hue corresponds to the position in the line between the start and end of the period: Green lines are closer to the start time, red ones to the end time.
So, what does it show? Primarily, that there is quite a bit of "bad" data in our set. Those long lines at the bottom indicate extended periods of time during which those cabs weren't transmitting their locations. Most cabs tend to ping the depot every 30-60 seconds, but some do it less than once per hour. For the most part, though, the consistency of that green-to-red column seems to indicate that we've got a pretty good idea of where most of the cabs were in that time period, and with a reasonable degree of resolution.
God, I'm such a geek.
Maps of racial and ethnic divisions in US cities, inspired by Bill Rankin's map of Chicago, updated for Census 2010.
Red is White, Blue is Black, Green is Asian, Orange is Hispanic, Yellow is Other, and each dot is 25 residents.
Data from Census 2010. Base map © OpenStreetMap, CC-BY-SA
This is the A3 version (300 dpi) of the final uberinfographic. The uberinfograhic is an overview of over 365 beautiful infographics and visualizations. The core of this overview is an infographic in itself, a schematic that structures all infographics and visualizations.
I was astounded by Bill Rankin's map of Chicago's racial and ethnic divides and wanted to see what other cities looked like mapped the same way. To match his map, Red is White, Blue is Black, Green is Asian, Orange is Hispanic, Gray is Other, and each dot is 25 people. Data from Census 2000. Base map © OpenStreetMap, CC-BY-SA
This is a visualisation of my Facebook friends. I have created it as part of an assignment for "Social Network Analysis" -- an online course run by the University of Michigan.
The circles represent people, and the lines represent friendships. Darker circles indicate people with higher number of friendships.
Inspired from Whole Foods CEO John Mackey's excellent speech about Spiral Dynamics entitled “The Upper Flow of Human Development.”
I really like how Mackey describes each value system meme with bulleted lists describing the unique Characterstics, How they Make Decisions, Education, Family, Community & Life Space.
The only problem with the layout of all of this information in a linear fashion is that it has been really hard to compare and contrast the different vMemes with each other. That was why I created a Cheat Sheet Graphic with all of the six categories and characteristics in one big massive table.
More details here
Archived at web.archive.org/web/20060910031642/http://www.wholefoods....
This is a visualization of the frequency of occurrence of the words 'internet' , 'web', and 'twitter' in the New York Times, from 1990 - 2009.
Interesting here is the very steep rise in mentions of Twitter so far in 2009. Compare the leading edge of the Twitter curve to both web and internet - it is clearly on a steeper climb.
Compare this image to one made in February, to see the very clear 'Twitter explosion' -
www.flickr.com/photos/blprnt/3256480403/in/set-7215761338...
Built with Processing (http://www.processing.org)
Também: Cabo-d'enxada, Colher, Foguete, Rabo-de-foguete, Viúva-alegre in "AVES DE PORTUGAL - Ornitologia do território continental" - Assírio & Alvim.
Residente comum
28/07/2016 - Hortinhas (Terena, Portugal)
[Obrigado pela visualização]
[Thanks for your visualization]
The lotus blossom is ours to visualize
and keep in our hearts. When we feel love, gratitude and appreciation, it is the lotus beginning to live in our hearts, expanding and emanating divine fragrance and living beauty.
This is a small visualization about my self I did last year at a university course. Did it with photoshop! :)
I was astounded by Bill Rankin's map of Chicago's racial and ethnic divides and wanted to see what other cities looked like mapped the same way. To match his map, Red is White, Blue is Black, Green is Asian, Orange is Hispanic, Gray is Other, and each dot is 25 people. Data from Census 2000. Base map © OpenStreetMap, CC-BY-SA