You wont see Google choose a major city as the local bells will instantly sue the city to prevent Google from wiring them up.

New York liposuctions

UGG sale

Cheap UGG Boots

Discount UGG Boots

Authentic UGG Boots

Genuine UGG Boots

Origianl UGG Boots

Women's Ugg

Men's Ugg

UGG Australia

UGG Store

UGG Official Store

UGG Shop

UGG Online Store

UGG Boots

UGG Boot

UGG Sandal

UGG Sandals

UGG Slipper

UGG Slippers

UGG Classic Cardy

UGG Classic Crochet

UGG Classic Mini

UGG Classic Short

UGG Classic Tall

UGG Nightfall

UGG Ultra Short

UGG Ultra Tall

UGG Tasmina

UGG Amelie Suede

UGG Gypsy Sandal

Ugg Matala Sandal

UGG Halendi Sandal

UGG Hammond Slipper

UGG Layback Slipper

Ugg Napoule Sandal

Ugg Persephone Sandal

Ugg Skimmer

I'm also a little wary of my location data being easily accessed by loads of unpoliced systems (and/or especially policed systems!). If the sanctity of data was certain I might be more comfortable with it, but the two-way nature of it makes me squint.

Am I old-fashioned?

One of the first examples of an internet filter was the “gopher” protocol. Gopher was an early “alternative” to the web protocal and it too provided document storage and retrieval. The way you used Gopher was by browsing an “ontology” in this case a hierarchical structure. Yahoo's, early subject index is another example of a early filter. It was hierarchical, browsable, organized web pages by subject, was similar to how a library would organize books, and was maintained by volunteers that created, edited and curated topics and listings. It was a user friendly way to filter web pages. An updated version is still available.

Then came Google with PageRank — a new way to filter web pages by assigning “authority” or “reputation.” In Google's case “popularity” as determined by analysis of the incoming and outgoing hyperlinks in a web page. It didn't hurt that Google's algorithm proved an efficient way to handle massive amounts of data at a time when the web was literally exploiting with new content.

Each advent of a new filter typically spawn entrepreneurial ventures that apply and exploit the new filter by mixing and matching the best of the old with the new.

Twitter created the filter of “time” or better expressed — timeliness. By taking the previous filter of social and applying it to time Twitter gave users a new, useful way to filter large data sets and get at previously unreachable, or at the least hard to reach, user content.

Now we come full circle to the new filter of location. The advent of new technologies such as GPS, geolocation, mapping software and most importantly the mobile web and a cultural shift to increasing comfort with 'publicness” in our personal and professional lives, allows development of what I call 'geosocial' applications.

As Dave Winer points out weather crime and other typically institutionally generated data is available. mappable and valuable to a segment of users or all users at some point in time. However, to my mind the real value will be combining social with location, and possible timeliness, in developing new applications that organize user generated content in new, interesting more meaningful ways.

Sorry guys, but don't sign me up for this one. Chris, I know I'm the odd man out here. Obviously lots of other commenters are on board, but I've already got enough access to information as it is, no more, thanks.

There's no doubt a market/demand for this kind of feed, and you're on the cutting edge as usual in bringing it up–I just think anybody would be nuts to add this to their load. Do we have to keep up with EVERYTHING that's going on? I'm runnin' from this!

-jef

-jef