I *AM* the misanthrope that started that discussion. If you look say the =
last 10 threads, the majority are from technical support questions, =
specifically related to a well known software vendor. I rarely see =
software questions from users of Intergraph, MapInfo, Caliper, =
Mapserver, Manifold, and on and on. Makes a person wonder ...
There are interesting discussions, such as a complex routing problem and =
a location-allocation problem that were posed the last couple of months. =
Its discussions like these that keep me interested in the list. That =
being said, I wait for the day when the users posting software support =
questions are promoted to upper management.
Cheers!
sonny
Stephany Filimon wrote: > Jeremy, > =
> There was a debate, not too long ago, about the direction in which list =
> content was headed, what the list should/should not primarily focus on. = Part =
> of it was about the plethora of postings on software issues, vs. more... =
> engaging? theoretical? topics such as yours. > =
> I wouldn't abandon the list just yet. I'm currently working on visual "m= aps" =
> of financial data and activity, just to experiment at this stage. But I = think =
> this is different from your idea of GIS models - can you elaborate? Are = you =
> talking more about combining existing models (i.e., the statistical likel= ihood =
> of condition A in location B happening at C time, forecast/estimate model= s =
> already used for weather, rainfall, financial markets, etc.) with GIS lay= ers =
> (adding however many variables), thus making for a "new" GIS model of sor= ts? =
> I'm on the technical side of GIS, so I have this tendency to skip ahead a= nd =
> start thinking of the "how" - what pieces would you tie in to do somethin= g =
> like this, what statistical/mathematical models would you integrate? =
> =
> I think the opportunity for rich multivariate, spatial analysis is great.= I'm =
> also fascinated with (and researching for my dissertation) sources of err= or in =
> decision making. For example, if one is using predictive models and GIS =
> layers have different sources of data (weather service, windmill sensors, =
> temperature sensors, etc.), how does one appropriately consider not just = the =
> margin for error in each layer, but in combined layers? There's also the= side =
> of how human beings make decisions - and where their judgments tend to be= more =
> and less accurate based on their understanding of data before them. I th= ink =
> your idea of GIS models may be able to take much or all of this into =
> consideration. > =
> =
> Quoting Sonny Parafina <sonny@ionicenterprise.com>: > =
> =
>>You are on the wrong listserv. Many GIS-L list members believe this is =
>>alternative to commercial software support. The list traffic here is =
>>typically, "Which button do I push on software X to get result Y." >> >>I would suggest that you join the geowankers listserv, where the =
>>intersection of the spatial web and semantic web is the focus. >> >>Here is the geowankers URL: >> >>http://lists.burri.to/mailman/listinfo/geowanking >> >> >> >>sonny >> >> >>Jeremy Stocks wrote: >> >>>I have been in the field of GIS nearly 14 years. I have seen every new >> >>craze come and go. But something exciting is slowly happening , thanks to= the >>following factors. I shall list them: >> >>> a.. The web for GIS is starting to come of age. Applications which are >> >>able to serve large quantities of data necessary for GIS are now here. =
>> >>> b.. The rise of free web GIS such as Mapserver which allows people to >> >>publish their own maps on the internet as long as they have a connection. =
>> >>> c.. The removal of selective availability on GPS receivers is allowing >> >>ordinary users access to precision they other wsie would never have had. >> >>>These changes, particularly the web and GPS are giving ordinary users po= wer >> >>to create maps they were previously never able to do. Now I am told the >>location-based industry according to the Guardian article >>http://www.guardian.co.uk/online/story/0,3605,1453293,00.html is going to= be >>worth a lot of money in the future. =
>> >>>The apps I am seeing are impressive but are only the tip of the iceberg. >> >>Everyone is serving out datasets based on exisiting features such as road= s, >>railways and contours. >> >>>But what would be very exciting would be what I call "conceptual&qu
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