Vision for the Future of GIS

Over this past weekend, I got into a conversation with an older friend that had graduated a few years ago from Tulane. I remember seeing him learning how to code while a senior and asked why he was learning, and he looked at me and said “This is the way of the future, man.” To which I replied, “Psh, okay Bill Gates.” I met with him recently at a party and we spoke about what he was doing with his life. He had left his job at Wall Street to pursue his passion, developing a cloud based application for musicians, which he had officially launched this year with a successful reception with his beta users.

This had me thinking, how could I apply cloud based applications to a sector of ICT4D which hasn’t been thought about? Now I know that there are GIS applications that are being used by many individuals and managed by these individuals through crowd-sourcing. Yet, in the future, when applications won’t be taking up the running memory of the device, but rather the memory of the cloud, how could GIS be used? How could we keep GIS totally connected to the real world at real time?

One idea is that the info that would usually take effort on the human, rather than the computer, to discern and manage, could be totally automated through a constant connectedness to the cloud. Everyone’s data of the environment around them wouldn’t even be needed to be input by the human, it would just run up directly to inform the system of the small change that it detects from your moment. This would make all GIS up-to-date and current, but also eliminating human error, or at least mitigating its influence over the data.

This is my vision for what could happen with how we view our physical world, our ever-changing environment.

 

http://icma.org/en/BlogPost/378/The_Future_of_GIS_is_in_the_Cloud

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One response to “Vision for the Future of GIS

  • clairedwyre

    That is a really interesting idea and would most definitely take out some human errors! I wonder if this would be possible since the shear volume of network speed and connectivity would be large but it would take away one of our classes larger problems with GIS mapping.

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