Made by artist and researcher Zach Lieberman, Land Traces invites you to attract a very simple gesture, then look at it immediately pull up an analogous stretch of shoreline, or hedgerow, or motorway. “Satellite photos give a wealth of visual data from which we can visualise in exciting techniques,” clarifies Lieberman. “Land Traces is an experiment that lets you discover Google Earth satellite imagery through gesture.” Created in collaboration with innovative coder Matt Felsen and Google’s Data Arts workforce, the instrument arrives with two modes. The first, named ‘Draw’, matches lines to satellite photos. The 2nd, named ‘Drag’, as a substitute makes overlapping connections involving photos, to produce infinite lines that bounce throughout rivers, streets and seashores.
To make Land Traces, Lieberman and his workforce applied a combination of open-resource libraries, optimised algorithms and device mastering, to establish photos, discover matches in serious-time and redraw Second WebGL graphics. It really is a great instrument to play all over with, and demonstrates the prospective for end users to sift through a large reservoir of photos working with gesture. I am not positive how functional looking a map working with squiggly lines would be on a working day-to-working day foundation, but it is really a great way to devote a number of minutes in the office environment. You can try it for by yourself here.
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Made by artist and researcher Zach Lieberman, Land Traces invites you to attract a very simple gesture, then look at it immediately pull up an analogous stretch of shoreline, or hedgerow, or motorway.
“Satellite photos give a wealth of visual data from which we can visualise in exciting techniques,” clarifies Lieberman. “Land Traces is an experiment that lets you discover Google Earth satellite imagery through gesture.”
Created in collaboration with innovative coder Matt Felsen and Google’s Data Arts workforce, the instrument arrives with two modes. The first, named ‘Draw’, matches lines to satellite photos. The 2nd, named ‘Drag’, as a substitute makes overlapping connections involving photos, to produce infinite lines that bounce throughout rivers, streets and seashores.
To make Land Traces, Lieberman and his workforce applied a combination of open-resource libraries, optimised algorithms and device mastering, to establish photos, discover matches in serious-time and redraw Second WebGL graphics.
It really is a great instrument to play all over with, and demonstrates the prospective for end users to sift through a large reservoir of photos working with gesture. I am not positive how functional looking a map working with squiggly lines would be on a working day-to-working day foundation, but it is really a great way to devote a number of minutes in the office environment. You can try it for by yourself here.