Big Data Analysis in the Clouds
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Big Data Analysis in the Clouds
Scientific, economic, social, political and cultural issues
Curated by Pierre Levy
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Datascaping And Designing With Information | #dataviz #urbanism

Datascaping And Designing With Information | #dataviz #urbanism | Big Data Analysis in the Clouds | Scoop.it

DataAppeal software provides an alternative to complex mapping tools through an easy to use, web-based GIS application that renders typical data files into beautifully designed multi-dimensional maps and datascapes instantly. For architects, landscape architects, urban planners and designers of the built form, the application is a great tool to utilize evidence-based information to expose new site patterns, to provide alternative 3D modes of mapping for communication purposes, and to aid in the initiation of master plan designs.

It’s also a refreshing way to visually engage professional and students with their site-based data...


Via Lauren Moss, luiy
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burlysand's comment, September 24, 2013 3:28 AM
Pretty simple..
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Data in the driver’s seat: Google Maps

Data in the driver’s seat: Google Maps | Big Data Analysis in the Clouds | Scoop.it

Autonomous vehicles -- fully or partially -- will rely on a large variety of data types. And guess who is best positioned to take advantage of this enormous new business ?

Pierre Levy's insight:

Apple’s failure in maps shows that, regardless of the amount of money invested, experience remains a key element. In California and India, Google maintains a staff of hundreds if not thousands of people manually checking key spots in large metropolitan areas and correcting errors. They rely on users whose individual suggestions are manually checked, using Street View imagery.

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DigitalGlobe creating real-time heat map of conflict in Africa

DigitalGlobe creating real-time heat map of conflict in Africa | Big Data Analysis in the Clouds | Scoop.it
Digital Globe uses satellite imagery and geospatial analytics to track what's happening in the world and predict the likelihood of extreme events.
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