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

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

-------------------------------------------- Managed by Request Tracker

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

-------------------------------------------- Managed by Request Tracker

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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@nhh.no

Hello,

sorry, it was rather as "wish" than a "bug" report -- must have mixed
up the menus.

Concerning GRASPER, I did not intend to say that this program is not
sophisticated and I know that a lot of work has been put into this
program, sorry if you got me wrong.

I was rather interested to simplify the data exchange e.g.
import of raster data into GRASPER (equivalent to the prediction map
export from GRASPER to GRASS).

Simplifying data exchange by implementing various spatial prediction
models in GRASS should not result in a point-and-click analysis (via
GUI) or a one-command-does-all process at all, but would drop the
tedious import-export routine.

In the end the process of spatial modeling (commands, preprocessing, data
cleaning etc.) would be the same but the exchange of data would be more easy.

and concerning scripting: I am on the way to learn it ,-)

cheers Martin

On Monday 27 September 2004 15:26, Roger Bivand wrote:

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
>
> -------------------------------------------- Managed by Request Tracker
>
> _______________________________________________
> grass5 mailing list
> grass5@grass.itc.it
> http://grass.itc.it/mailman/listinfo/grass5