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I spotted this kid playing soccer with his dad from my apartment and immediately imagined the shot that I wanted to take, and this is pretty close to what I imagined.

  

Check out my photoblog on Zenfolio, or look me up on Google+.

interactive version of my former work. it's build with actionscript. you can play with it at blob.creanode.com/blob/eu2009/ if you want.

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....

A network graph showing the connections of actors that appeared together in 23 James Bond films. See an interactive version at exploring-data.com/vis/james-bond-actors-network/

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)

 

blog.blprnt.com

Sketchnotes from a great day of lectures by Prof Tamara Munzner (UBC)

Generated and visualized in processing. For further images see: www.michael-hansmeyer.com

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

Functional notation is only available for a subset of functions. Here is an alternative syntax for factoring and expanding polynomials.

Multiple functions can easily be graphed using Python's list comprehensions.

Viva apartments visualizations created for Adele Bates' interior design project in Brighton.

Software used: 3ds Max, Corona and Photoshop

Parametric plots can be created in 3D as well as in 2D.

Sage supports differentiation and the calculation of the Taylor series.

Variables can be used almost anywhere a number is expected.

This example uses list comprehensions to automatically generate several Taylor approximations.

Functions can also be plotted by generating a line that approximates the function. In fact, this is what happens behind the scenes when the 'plot' function is called.

This graph shoes a function and its integral.

Patrick van der Pijl: On January 4th 2011 Alex Osterwalder reinversed the business model of Facebook. On his blog he reconstructed together with his smart and loyal followers the model of Facebook. We thought it would be great to build on the work that has been done by visualizing this business model. More on www.businessmodelsinc.com - Illustration: Joeri Lefevre

Freestyle. Center is a pysanky design found in Zenon Elyjiw's Sixty Score of Easter Eggs: A Comprehensive Album of Ukrainian Easter Eggs. Love that book. Around the egg are my doodles, which turned out to look vaguely pea-pod-ish. This piece is completely covered with stitches and is roughly the size of the palm of my hand.

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

From: www.connectedaction.net

Link: www.flickr.com/photos/marc_smith/6793088143/sizes/l/in/ph...

 

These are the connections among the Twitter users who recently tweeted the word pfizer when queried on January 30, 2012, scaled by numbers of followers (with outliers thresholded). Connections created when users reply, mention or follow one another. The data set starts on 1/28/2012 19:03 and ends on 1/30/2012 23:05 UTC. Green lines are "follows" relationships, blue lines are "reply" or "mentions" relationships.

 

Layout created with the "Group Layout" feature of NodeXL which tiles bounded regions for each cluster. Clusters calculated by the Clauset-Newman-Moore algorithm are also encoded by color.

 

A larger version of the image is here: www.flickr.com/photos/marc_smith/6793088143/sizes/l/in/ph...

 

Betweenness Centrality is defined here: en.wikipedia.org/wiki/Centrality#Betweenness_centrality

 

Clauset-Newman-Moore algorithm is defined here: pre.aps.org/abstract/PRE/v70/i6/e066111

 

Top most between users:

@makersnazzair

@pfizer_news

@fredliberty2010

@smashsmamilk

@wsjhealth

@pfizerorw

@wsjbusiness

@benitecltd

@azendrian

@golfswingtrs

 

Top keyword pairs:

thanks, pfizer, 60

click, here, 60

free, sample, 59

fda, approves, 52

approves, pfizer, 40

sma, milk, 38

support, children, 34

supposedly, cater, 34

@smashsmamilk, #shameonpfizer, 34

cierne, medida, 32

empresa, pfizer, 32

expropiacion, contra, 31

bioportfolio, news, 24

kidney, cancer, 23

#pharma, #pfizer, 21

pfizer, sera, 20

sera, por, 20

fda, approval, 20

pfizer, inc, 20

 

Graph Metric: Value

Graph Type: Directed

Vertices: 1000

Unique Edges: 2585

Edges With Duplicates: 811

Total Edges: 3396

Self-Loops: 1067

Connected Components: 327

Single-Vertex Connected Components: 313

Maximum Vertices in a Connected Component: 652

Maximum Edges in a Connected Component: 2963

Maximum Geodesic Distance (Diameter): 10

Average Geodesic Distance: 3.57997

Graph Density: 0.002097097

Modularity: 0.486809

NodeXL Version: 1.0.1.199

 

More NodeXL network visualizations are here: www.flickr.com/photos/marc_smith/sets/72157622437066929/ and here:

www.nodexlgraphgallery.org/Pages/Default.aspx

 

A gallery of NodeXL network data sets is available here: nodexlgraphgallery.org/Pages/Default.aspx?search=twitter

 

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.

 

Donations to support NodeXL are welcome through PayPal: www.paypal.com/cgi-bin/webscr?cmd=_s-xclick&hosted_bu...

 

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.

www.luzinterruptus.com/ is a Spanish collective of artists specialized in Interventions. This time they draw attention to public urinating. By installing “public toilets” in places they chose by their noses, easy to find places where the smell tells, they hope to remind people to abstain from this anti social behavior.

 

Probably inappropriately used from:

www.flickr.com/photos/sanabria-/sets/72157612379005474/

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

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

If you look deep in to the image, you can visualize alot of funny stuff from this image...give it a try! :)

 

What you see from distance in the image is a sand bank with small trees which is eventually going to be an island.

Paper at www.stat.columbia.edu/~gelman/research/published/signif4.pdf (PDF)

 

Let's say that a country, Lagutrop, wants to increase its PISA results and, before deciding on policy, the decision-makers want to know what works by running experiments or studies of intervention effectiveness. These studies compare two variables with similar intervention scales, say expenditure in computer-assisted learning (U) and expenditure in teacher selection and incentive systems (V).

 

In Study 1, data is collected measuring the effect of U and V (possibly with a lot of covariates). The parameter estimates for the effect of U and V are given by the two bell-curve-like curves on the left above.

 

Conclusion (as is traditionally presented): Lagutrop should invest in teacher selection and incentive systems, since computer-aided education has no significant effect.

 

Gelman and Stern problem 1: but the difference between the effects is itself non-significant! If significance is the criterion for disposing of U, then it should also be explained to the decision-makers that significance cannot be used to separate U from V. Specifically, policy-makers in Lagutrop should be told that the rejection of computer-aided education is based on a criterion that also suggests that computer-based education is as effective as teacher recruitment and incentives.

 

Meanwhile, another group of researchers run a single-variable study (Study 2) considering only the effects of spending money on teachers (in Lagutrop this study would probably have been done by teachers :-).

 

The results of Study 2 are then presented as supporting the conclusions of Study one, phrased as "Expenditure on teachers shows a significant effect on PISA scores in both studies."

 

Gelman and Stern problem 2: Studies 1 and 2 predict very different effect sizes for variable V; why the discrepancy? How can two parameter estimates that are significantly different from each other be considered corroboration?

 

My own take on this problem 2 is the following: suppose the policy-makers in Lagutrop have to decide how much to allocate to this PISA-improvement project, out of a budget that includes other considerations (national defense, jobs for the families and friends of the politicians, police, fire-fighters, etc.). Budgeting will require forecasting. Which of the parameter estimates for effect size will they use to build a forecasting model? Since the two estimates are significantly different, any attempt at aggregation would violate the basic meaning of that significance.

 

That's what we engineers call a serious execution problem.

 

(Reblogged at my personal blog.)

19/10/2013 - Sobreda (Almada, Portugal)

 

Tirada na companhia do amigo Mário Gomes. Obrigado pela visita.

Taken in the companionship of friend Mário Gomes. Thanks for visiting.

 

[Obrigado pela visualização]

[Thanks for your visualization]

I can't see

I can't walk alone

I lack some physical skills

 

But, I won't knee to blindess

I won't be completely depedent on the others

I won't stay without any work

 

I have the heart to visualize the feelings

I have the mind to comprehend the life

I have the soul to be a free human

 

[Abraaj. January 2007]

 

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Series of Kuwait's portraits (winter 06-2007)

I saw this blind old man at Al-Mubarakiah Market in Kuwait City

Canon EF 70-200mm f/2.8L

editing: RAW processing and Photoshop editing

    

[Entre o maxilar e a mandíbula. Melhor em zoom]

[Better in zoom view. Between the mandibles]

 

Estrelinha-real | Regulus ignicapilla | Common firecrest

 

Também: Estrelinha-de-cabeça-listada, Felosa-de-poupa in "AVES DE PORTUGAL - Ornitologia do território continental" - Assírio & Alvim.

Residente e invernante pouco comum a comum.

 

08/12/2015 - Sobreda (Almada, Portugal).

 

[Obrigado pela visualização]

[Thanks for your visualization]

Tạo phối cảnh các mùa, thời gian cho công trình

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

Part of a 5 house visualization project for ARCHIPOD.

 

Furniture models in this image are part of the model supplied in the latest 3dallusions - Charette#15 - Quinta House

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