[GRASS5] [bug #2637] (grass) (better) implementation of Spatial Models

[Roger Bivand]

Martin:

This is not a bug. GRASPER is quite sophisticated and involved a lot of 
hard work. Any data analysis involves a lot of data collection, data 
cleaning, and then analysis (with lots of possible alternatives to choose 
between). Nobody, not even the big proprietary GIS provide 
point-and-click analysis - and I would not trust their results if they 
did. If you choose to contribute dressed-up TclTk interfaces to scripts 
for GRASPER etc., feel free, but I think you'll find that you are into at 
least a 10K lines project just to start with. The bottom line is on Frank 
Harrell's "Can one be a good data analyst without being a half-good 
programmer? The short answer to that is,`No.' The long answer to that is, 
`No.'" 

(http://www.georeference.org/Forums/random-quotes/view-random-quotes.asp)

which means scripting anyway.

Roger Bivand


On Mon, 27 Sep 2004, Request Tracker wrote:

> this bug's URL: http://intevation.de/rt/webrt?serial_num=2637
> -------------------------------------------------------------------------
> 
> Subject: (better) implementation of Spatial Models
> 
> Platform: GNU/Linux/i386 
> grass obtained from: Trento Italy site 
> grass binary for platform: Compiled from Sources 
>  
> It would be great if spatial prediction models like Environmental Envelope,  
> ANN, Generalized Additive Models (GAM), Tree etc. would be implemented in GRASS and  
> could be used straight forward using a bunch of commands.   
>    
> At the moment a few can be used e.g. GRASP (GAM) via R but this approach is quite  
> cumbersome. (http://www.cscf.ch/grasp/)  
>   
> More infos concerning the different models can be found in these papers (pdf download at  
> http://ecospat.unil.ch/index.pl/publications):  
>    
> Guisan, A. & Zimmermann, N.E. 2000. Predictive habitat distribution models in ecology.  
> Ecol. Modelling 135(2-3): 147-186.   
>   
> Guisan, A., Edwards, T.C. and Hastie, T. 2002. Generalized linear and generalized additive  
> models in studies of species distributions: setting the scene. Ecol. Modelling 157(2-3):  
> 89-100  
> )  
>   
> thanks Martin  
> 
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-- 
Roger Bivand
Economic Geography Section, Department of Economics, Norwegian School of
Economics and Business Administration, Breiviksveien 40, N-5045 Bergen,
Norway. voice: +47 55 95 93 55; fax +47 55 95 93 93
e-mail: Roger.Bivand at nhh.no