Tag Archives: geolocation

Crowd Sourcing vs. Tribe Sourcing

Google Maps new geolocation feature -- now you can share your location on Google Map

Google Maps new geolocation feature -- now you can share your location on Google Map

Yesterday, Google Maps launched a geolocation feature.  When you click on the small blue dot on the upper-left controls, it will try to figure out where you are using Wi-Fi.  It’s a pretty darn cool feature.  Well, Skyhook‘s been doing that much longer than Google has and definitely has a better product at this point (your Google Map on your iPhone uses Skyhook!  Things that make you go hm…).  Hold this thought.  I’ll return to my point about this in a bit.

This blog is not about Google getting their tentacles into many different markets.  (We had that experience and Galen Moore of Mass High Tech quoted me quite well in his article.)  That’s definitely a multi-part blog for some other time.

I want to talk more about crowd sourcing vs. tribe sourcing in this blog.  I think people have a decent idea of what crowd sourcing is.  So, what is tribe sourcing?  Tribe sourcing is when you have not everyone involved; much less but focused set of folks doing the sourcing.  Crowds can create lots and lots of data, but have many different intensions — their “intension vectors,” if you will, are not aligned, hence creating lots of noise as well.  So, in order to gather what you want from this vast amounts of information, you have to filter accordingly.  Meaning, make some assumptions, process, and potentially make some guesses as to what that means.

Now, let’s take the example of what I initially mentioned about Google geolocation vs. Skyhook geolocation.  Sources say that Google’s geolocation feature is not as good.  It turns out that’s because they are crowd sourcing their info. From Wade Roush’s article:

“[Google] quietly gathers local readings every time someone uses a Google app on an iPhone or a Blackberry, or some other mobile device.”

As opposed to Skyhook’s tribe-sourced data:

“Skyhook’s own approach is to send Wi-Fi-sensing vehicles down every highway, street, and alley, methodically establishing the position and strength of every access point they pass.”

Skyhook may have much less quantity of people contributing to their data, but they have a very focused tribe gathering the right data.  Their intension vectors are very well aligned in collecting the data in a structured and optimal way for this particular application.

So, which one’s better?  It’stoo early to tell but my bias is Skyhook (and has nothing to do with the fact that I know Ted Morgan and folks at Skyhook fairly well).  Is tribe sourcing better than crowd sourcing?  Vice versa?  More specifically, when will Google’s data/product be better than Skyhook’s?  I don’t know, but time will tell.

Yet another question:  Why combine and do both?  Google’s everywhere (including Android) and seemingly has unlimited resources, so they can.  I think Skyhook can too.  Perhaps the answer lies in somewhere in the balance between the crowd and the tribe.


What About the Inside?

About a year ago in 2008, I had the privilege to speak in front of the Where 2.0 2008 audience.  The topic was titled, “What About the Inside?” (Online video link here.)  I’m bringing this up again since the question is still valid — in some sense much more valid now than before.  What was the context?  It was a question meant not only for the Where 2.0 audience, but also meant for the GIS, mapping, GPS, 3D/2D imaging, government/civic, architectural and urban planning, and any community of people who were doing any work that gathers information and interacts with interior places and spaces we live.

The premise was that we have an unnatural bias towards mapping the outside spaces more so than the inside.  Perhaps it has some historical significance, where outside spaces were the final frontier.  Well, that’s no longer true, since much of the earth’s outdoors has been mapped, explored, marked.  GPS, satellite and aerial imaging, smart software algorithms (e.g. image registration), and the Moore’s Law definitely changed the landscape of how we can gather information for the outside.  Now we even have ground-level imagery from Google, EveryScape, etc., and we can zoom around places virtually.

But what about the INSIDE spaces?  I surely don’t want to stop at just the entrance to a place I want to visit.  I want to go INSIDE!  Perhaps the right question is: How can I experience of the inside spaces of every interior space I’d like to visit?  Yeah, it’s a big question.  And in this context, by “I,” I mean for every single person who uses the internet.  There are definitely issues such as privacy, no GPS, no aerial photos, multiple floors/levels, etc. that question existing technologies and solutions, since they don’t seem to “map” that well for the interiors.

Please check out my Where 2.0 2008 presentation video and I would love to hear your thoughts.  And below is the clip of an EveryScape eye-candy commercial.


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