This is reminding me of a blog post I read yesterday (at
highscalability.com via lin.ear.th.inking) about relational databases vs.
the "big table" database Google uses.  To attempt to summarize, RDBs rely
on categorization/tables, the big table on redundancy and maintaining
real-world connections.  More importantly to the ongoing conversation
here, they're totally different mindsets and both excellent choices in
certain situations.  Of course, one you can run off a single computer, the
other you need a server farm...  :)

Brad

>
>
> ----------------------------------------------------------------------
>
> Message: 1
> Date: Thu, 26 Jun 2008 20:52:32 +0930
> From: stephen white <[EMAIL PROTECTED]>
> Subject: Re: [Geowanking] Spatial analysis was Re:  MapMaker
> To: [email protected]
> Message-ID: <[EMAIL PROTECTED]>
> Content-Type: text/plain; charset=US-ASCII; format=flowed; delsp=yes
>
> On 26/06/2008, at 2:04 PM, Mike Liebhold wrote:
>> And despite Stephen White's and Schuyler Erles earlier comments
>> diminishing the importance of "red dots",  besides 3D,  another
>> important frontier is learn true geospatial analysis; learning to form
>> proper queries  for the -specific-  dots, lines or blobs from what is
>> growing into an immense web of geocoded data.
>
>
> I'm a bit surprised to find myself the poster (or whipping) boy for
> wanting to go beyond map mash-ups. It just seems very obvious to me
> that mash-ups of all kinds will always be specialised interfaces that
> have, and suffer, from all the same problems as layers in GIS.
>
> When trying to find information, what is the difference between a
> clumsy search field, a clumsy layers box, a clumsy bunch of red dots,
> or basically any of the current approaches? They all end up at the
> same original problem of being unable to specify what is wanted.
>
> There are two components to this problem. The first is being unable to
> accurately, without bias, specify what is being searched for. The
> second is being unable to accurately, wihtout bias, sort information
> into searchable categories.
>
> That is the same valley of death that mash-ups dive into every time.
> They always categorise information in the first place, then want the
> information searched by category. Categories are the problem.
> Categories are not the solution.
>
> Hence my push to look back towards the original data with its 3d,
> time, location, and photographic capture by nature. Now given a bunch
> of raw data, how CAN it be organised (not categorised) such that it
> can be searched by the same means?
>
> I can only be the poster (or whipping) boy for one topic at a time. So
> I won't expand further until the discussion is more amenable to this
> specific avenue.
>
> --
>    [EMAIL PROTECTED]
>
>
>
>
> ------------------------------
>
> Message: 2
> Date: Thu, 26 Jun 2008 07:47:38 -0400
> From: "Andrew Turner" <[EMAIL PROTECTED]>
> Subject: Re: [Geowanking] Spatial analysis was Re: MapMaker
> To: [EMAIL PROTECTED], [email protected]
> Message-ID:
>       <[EMAIL PROTECTED]>
> Content-Type: text/plain; charset=UTF-8
>
> On Thu, Jun 26, 2008 at 12:48 AM, David G. Smith PE PLS
> <[EMAIL PROTECTED]> wrote:
>> Seems 'neo' comes full circle and returns to what the 'paleo' guys have
>> already been doing for decades in desktop GIS...
>>
>> *ducking tomatoes and exiting stage left...*
>>
>> Seriously, the excitement factor of it is in bringing true, robust
>> geoanalytical capability to this Mashup-oriented self-service Web x.0
>> paradigm in the form of easy-to-feed, easy-to-consume web services.
>> Grab
>> dataset 'a' on the fly from here, run your analysis on the fly there,
>> and
>> show the results in your [insert framework du jour here:  Google Earth /
>> Virtual Earth / WorldWind / OpenLayers / Widget / iPhone / whatever else
>> we
>> dream up ]
>>
>
> Good points, but a little off as well.
>
> There is a mix in this discussion between Neogeography, GIS, and the
> land that is betwixt the two. And in this mix is the desire by various
> domains to have the utility of the others.
>
> The problem with GIS in the Web x.0 world hasn't been that the utility
> wasn't desired, it's that it is couched in interfaces and
> functionality that is targeted towards a different kind of user than
> the one asking the question "find me a camping site".
>
> So what is interesting is that all this data we're begging to collect,
> collate, and aggregate, and the innovative interfaces for visualizing
> the results are that they will be potentially just as useful for
> asking the question an 'average user' may ask "find me a good camp
> site on my route to B" as the question a geospatial analyst may ask
> "what is the density of campers along highways in the western US".
>
> However, the two are still distinct. There will be different engines
> that power analyzing these questions and different pieces of interface
> that provide exploration and querying depending on the type of answers
> desired.
>
> Andrew
>
>
> ------------------------------
>
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> End of Geowanking Digest, Vol 55, Issue 29
> ******************************************
>


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