Re: [OSGeo-Discuss] Staistical analysis support needed

2010-09-13 Thread Christopher Schmidt
On Mon, Sep 13, 2010 at 03:49:46AM -0700, mayank_agarwal wrote:
 
 Hello everyone,
 
 Finally I have decided to use Open Layers on client side in conjunction with
 J2EE Technologies,
 GeoServer as a web map server and,
 POST GIS as Spatial Database.
 
 Now integrating all of these I want to do Statistical data analysis on the
 spatio-temporal data using-
 1. Moran's I
 2. Geary's C
 3. Kriging 
 4. Local Moran's I
 5. Spatial Scan Statistic
 6. Geographic weighted regression
 
 Does anyone has any idea on how to proceed further using these combination?
 Is there any other client side library that I can use for this?

My guess is that there are two ways that you might explore to do this.

  1. Any time someone says 'statistics', my first thought is 'R'; I
  don't know any of the things you're talking about here, but if these
  are statistical methods of some sort, R seems like a valid place to
  start looking. 

http://cran.r-project.org/web/packages/rgdal/index.html

rgdal will let you read OGR data sources (like PostGIS databases)
into a spatial vector object, and interact with them from there.
  
  2. I know that at least some of these mechanisms (like Kriging) are 
 implemented in GRASS, and I would bet that this is your second best
 option. GRASS is a bit intimidating to a first time user (though I
 guess not much more so than R :)), but a very powerful geographic
 data analysis tool.

Best of luck,
-- 
Christopher Schmidt
Web Developer
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Re: [OSGeo-Discuss] Staistical analysis support needed

2010-09-13 Thread Noli Sicad
 Finally I have decided to use Open Layers on client side in conjunction with
 J2EE Technologies,
 GeoServer as a web map server and,
 POST GIS as Spatial Database.

http://opengeo.org/community/
http://opengeo.org/community/suite/

 Now integrating all of these I want to do Statistical data analysis on the
 spatio-temporal data using-
 1. Moran's I
 2. Geary's C
 3. Kriging
 4. Local Moran's I
 5. Spatial Scan Statistic
 6. Geographic weighted regression

JRI is a Java/R Interface
http://www.rforge.net/JRI/

 Noli
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Re: [OSGeo-Discuss] Staistical analysis support needed

2010-09-13 Thread Pieter De Graef

Are you building a desktop or web based application here?
I see that you have selected an OpenLayers client, so that suggests web 
to me. In that case, since you want J2EE technologies, I would suggest 
Geomajas (which is fully Java - GWT). It has PostGIS support either 
through GeoTools or through Hibernate Spatial, and can also connect onto 
a Geoserver (should you still require a web map server). The analysis 
part would then simply be done server-side using a Java library (JRI?).



mayank_agarwal schreef:

Hello everyone,

Finally I have decided to use Open Layers on client side in conjunction with
J2EE Technologies,
GeoServer as a web map server and,
POST GIS as Spatial Database.

Now integrating all of these I want to do Statistical data analysis on the
spatio-temporal data using-
1. Moran's I
2. Geary's C
3. Kriging 
4. Local Moran's I

5. Spatial Scan Statistic
6. Geographic weighted regression

Does anyone has any idea on how to proceed further using these combination?
Is there any other client side library that I can use for this?

Thanks and regards,
Mayank
  


--
Pieter De Graef

Community Manager
GeoSparc nv.
http://www.geosparc.com/

Chairman of the Geomajas project
http://www.geomajas.org/


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Re: [OSGeo-Discuss] Staistical analysis support needed

2010-09-13 Thread Yves Moisan



My guess is that there are two ways that you might explore to do this.

   1. Any time someone says 'statistics', my first thought is 'R'; I
   don't know any of the things you're talking about here, but if these
   are statistical methods of some sort, R seems like a valid place to
   start looking.

 http://cran.r-project.org/web/packages/rgdal/index.html

 rgdal will let you read OGR data sources (like PostGIS databases)
 into a spatial vector object, and interact with them from there.
There's also PL/R to access R within PostgreSQL, in case no one else 
mentioned it.


HTH,

Yves

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