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Tag "processing"

Ever wondered why the suggestions on shopping websites such as amazon or ebay more often than not appeal to you? Most links are targeted and do related to recent activity linking activity and interest together.

Amazon’s recommendations for products especially books works as a network of relations and starts to groups together similar interest areas. This is based on cross user activity and behaviour with a learning environment. One purchase leads to another and so on.

Christocper Warnow has looked int o creating a network visualisation for the amazon recommendation service and has written a Processing app making use of the open source Gephi API. The tool can take a web link to a book on amazon and create a network around it for up to 100 recommendations associated with the publication.

The tool can be downloaded HERE for a test. It rus in real time and the process of building the network is unfolding on screen, quite interesting to follow. The tool allows for zooming in/out and hovering for information as well as an pdf export function of the created network visualisation.

Image by Christopher Warnow / Recommendation network on amazon.de for Linked

Image by Christopher Warnow / Recommendation network on amazon.com for Linked

Interesting are the differences between the amazon online stores. Warnow points out that there are connection recommendation differences between for example the .de and the .com store in some examples: “I wanted to compare the recommendations given by amazon.de and amazon.com. And another surprise waited. The milieus looked different. The Germans are connecting postmodernism with Deleuze, the buyers from amazon.com are thinking more about the French situationist movement. I tested it again with the awesome book Linked by Albert-Laszlo Barabasi. The similarities are the complex theory and network dynamics. But the differences are interesting as well. The English milieus contain politics and collective systems, where as the Germans are more into successful marketing and economics.”

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Nike is one of the very big brands managing to cleverly connect to their customers through both very good marketing and a product range always catching and inspiring the trends. So they were very early to offer an iPod extension to connect their sport equipment with a lifestyle gadget.

Since these early days of the Nike iPod marriage a lot has changed, but the basics are stil, you can listen to your favorite music and mange your training data. Nike+ offers a platform for managing the training data based on distance, pace and route and track performance over time. It also comes as an app for the iPhone including the GPS tracking.

1000 New York Nike+ runs
Image taken from cargoCollective / The 1000 runs of New York as a sample of Nike+ training data. The activity data redraws the geography of Manhattan including many of the streets.

Cooper Smith, a interaction designer, worked with a 1000 runs taken from the Nike+ data store and produced a series of amazing graphics focusing on New York. What he is working with is really the GPS tracks and the contained time and location data. He has been using the Google Refine for data cleaning and processing for the visualisations.

The data nicely draws out the geography of New York, especially Manhattan and shows a runners map of NY of sort. It is an individuals map with a collective presentation of spatial activity. Different patterns are showing as Smith is experimenting with different visualisation and processing parameters.

1000 New York Nike+ runs
Image taken from cargoCollective / Smith explains the distance parameters: “Not surprisingly, longer runs tended to be more prevalent in areas that runners could get to stretches of uninterrupted running trails, such as Central Park, the bridges, and the West Side Highway. Landlocked areas where trails are replaced by streets tended to see much shorter runs. I was surprised to see that most of the runs originating from the Upper East Side and Upper West Side were short runs, given their proximity to Central Park. It appears that people who begin their runs in Central Park tend to go for longer runs, while those who start outside of Central Park and run into it tend to go for shorter runs”.

The full animation of the data shows the patterns over a 24 hour period, superimposing the tracks in time. There seems to be more activity after work, but already in the morning is quite a peak. Nevertheless NY seems to be running all day. At least this was the picture back in autumn 2010.

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After having missed the official start of the workshop yesterday I joined the workshop team. Today was not only very hot but also very productive. Moscow is some 39C, maybe more depending on the source. So the water spender machines are in constan use and the cartridges have to be changed frequently.

Topics for today were processing, processing and processing. In between we had some short exercises concerning the interactions between virtual and real spaces. With this we want the students to start investigating in many directions and from the beginning to mix both worlds. YOu can follow the progress either on the workshop facebook page anOtherWorkshop, or on twitter @anOtherWorkshop with the #vvsr tag.

In a simple string of actions parameters for twitter mining were extracted from virtual user generated online information that was recreated and reinterpreted and put back online. The resulting stories of object and place produced a list of key search terms. Surprisingly there were many very successful search terms found in this way maybe no one would have thought of otherwise. It turned out that cleaning and smoke and pipe are actually very popular words in the world of Russian twitter users.

In a simple processing query, the terms were requested through the twitter api and visualised according to the day of the week, in columns and time of the day, in rows.

keyword "труба" ("pipe")
Image taken from the flickr account of anOtherWorkshop, generated by Yulia and Masha / This is using the Russian search term “труба” (“pipe”). Basically through out the week people are talking about pipe.

The tool that offers the most direct interface between the real world and the virtual literally is the Tales of Things. The platform to link memories, stories and thought via virtual content to any real world object. Obviously the students liked this hands on and easy accessible tool and started to log their stories.

There is the wonder full tale of the ghost of the house, who lives on in one of the buildings on the island and sort of leads it in to a positive future (from his seat in the rain pipes). Or there is the sad-sweet description of the girl/young lady who’s face is printed on the chocolate bar that used to be produced on site on the island, or the confusion created by words if they are used in the same sense in a different context.

Image taken from the flickr account of anOtherWorkshop, generated by Zvezdnii and his colleague / The “object” – chocolate bar, sportig the girl on the cover. It is actually a rather disturbing facial expression if you think about it for a moment.

The day was rounded off with a late night lecture at Strelka by Hans Ulrich Obrist starting only after 10 pm local time. The talk is covered by urbanTick on twitter.

Just for the records the input presentation given today.

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For his Masters Thesis, Pedro Cruz has developed a visualisation of Lisbon traffic. It represents 24 hours in the capital of Portugal.
The data is derived from 1534 vehicles recorded over one month. All the records are then put into a 24 hour stack.
The colours represent the speed of the traffic with green being fast and orange/red being slower. The main roads to bring traffic through the city with a higher speed show up in green where as the local roads beautifully draw the tight network in between.

Image by Pedro Cruz / Vehicule traffic in Lisbon on a Friday, visulisation inspired by Aron Koblins’s flight patterns.

The visualisations are built in processing and Cruz experimented with a number of different typs, each emphasising a different aspect. He eventually settled for one that is combining the speed as well as the focus on the main road. I am not sure however what the trailings/diagonals, between points actually mean. Guess it could be were the tracking signal was ost, but that seems a bit too geometrical for this. On the other hand as an area it also doesn’t make too much sense. Cruz describes it as a visual thing.
Interestingly the speed on the local roads seems to be fairly constant, were as the speed on the main roads seems to slow down at night. This is surprising, since one would think that during the day there is more traffic and drivers would naturally slow down or even get slowed down by clunked up roads. on the other hand, at night there is more room on these roads and drivers would go faster and race around the city.
However this is great visualisation work. For more such visualisation visit Cruz’s blog or his vimeo channel.

Found via Datavisulisation.ch .

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A quick visualisation illustrating the location war between foursquare, brightkite, Gowalla, twitter, flickr, blockChalck and Bump. This is a weeks worth of data. Animation is created in processing.org The data was intially collected during the South by SouthWest Interactive Festival. The live datastream was available on http://austin.vicarious.ly It is a demonstration using SimpleGEO, the online geo database project.

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It has taken a while but now the first track records coming out of the UrbanDiary project are ported and can be visualised with processing. This is really an awesome tool to work with, however there is still a lot of hiccups and stuff to learn for me. So with a lot of trial and error I managed to get this one going. It is based on some stuff Steven M. Ottens has put together for his visualisations of GPS tracks HERE.
For this lot of data, it replay the recordings of seven participants of the UrbanDiary project. THese were recorded between April and August 2009. The setting is Greater London and you can most probably start guessing a few location that get highlighted as the drawing progresses. Some of the denser locations are;
However there are still some problems with the time component of the data as well as the transparency.
From a processing point of view it makes use of the tomc GPX library.

Music Ooze by Klez on mp3unsigned.com

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