Hi Mayank,
In terms of Eclipse integration look at the statet package:
http://www.walware.de/goto/statet. In terms of Java/R API (really more
of a glue layer), look at the rJava package:
http://www.rforge.net/rJava/, which also includes JRI (something this
thread has already addressed).
Giv
Thanks everyone for helping me,
I am using R gor statistical analysis, but how does integrate with Eclipse
and how is the API?
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I would like to read a gml file then port to Java classes for further
processing..
i've heard geotools has GML3_2 package...
please help me to decide on what java library to use...
thanks
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Bill,
Thanks for the ideas. I might try to do something with the viewshed idea
in the future. It would need a LOT of computing to process all the road
segments in a National dataset like Tiger.
But for now I would like to figure out the routing costs.
One idea I had was to compute the grade
Mayank,
You may wish to implement this functionality via an OGC Web Processing Service.
That way, if your technology requirements change in the future, you can limit
the impact of the change.
Bruce
On 14/09/10 1:40 AM, "Alex Mandel" wrote:
On 09/13/2010 06:45 AM, mayank_agarwal wrote:
>
>
Stephen Woodbridge wrote:
Hi all,
(This is cross posting from the pgrouting list, sorry for the dups.)
I have preprocessed some shapefile data and added elevation
information in the Z value of the coordinates. I'm wondering how to
best utilize that in routes and would like any thoughts or ide
Stephen,
You didn't explicitly mention it, but TIME might be an additional item to
include, as in different vehicles will take different amounts of time to
traverse. Once you ave a good set of constants for the different types of
vehicles, you could add in "Time to Traverse" as a graph indica
Hi all,
(This is cross posting from the pgrouting list, sorry for the dups.)
I have preprocessed some shapefile data and added elevation information
in the Z value of the coordinates. I'm wondering how to best utilize
that in routes and would like any thoughts or ideas you might be willing
to
On 09/13/2010 06:45 AM, mayank_agarwal wrote:
>
> Hello Christopher,
> Sorry for that, I didnt mean to be so harsh on GRASS, but as R can be
> bridged with JAVA using JRI library, that's why I prefer R, and then it is
> simpler in using, and I agree that both will have there pros and cons, no
> do
Re: statistical support
R is a good bet but you might also want to check out PySAL
http://geodacenter.asu.edu/pysal
On 13/09/10 14:52, discuss-requ...@lists.osgeo.org wrote:
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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 loo
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El 13/09/10 12:49, mayank_agarwal escribió:
>
> 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 integr
On Mon, Sep 13, 2010 at 06:45:38AM -0700, mayank_agarwal wrote:
>
> Hello Christopher,
> Sorry for that, I didnt mean to be so harsh on GRASS, but as R can be
> bridged with JAVA using JRI library, that's why I prefer R, and then it is
> simpler in using, and I agree that both will have there pros
Hello Christopher,
Sorry for that, I didnt mean to be so harsh on GRASS, but as R can be
bridged with JAVA using JRI library, that's why I prefer R, and then it is
simpler in using, and I agree that both will have there pros and cons, no
doubt.
Never the less thanks for helping me so much and iI a
On Mon, Sep 13, 2010 at 04:02:44AM -0700, mayank_agarwal wrote:
>
> Thanks Christopher,
>
> I think R is a really good option to use, as GRASS is a desktop GIS.
Er... and? I mean, R is a 'desktop statistics program', right? :)
GRASS can be seen as a command line tool for performing analysis
ope
Thanks Noli and Pieter,
As I am finally going with R, thaks for your support, it really helped me.
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___
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 throug
> 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 a
Thanks Christopher,
I think R is a really good option to use, as GRASS is a desktop GIS.
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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 t
Thanks a lot Christopher,
You have really helped me a lot.
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__
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.
On Sun, Sep 12, 2010 at 10:09:45PM -0700, mayank_agarwal wrote:
>
> Thank you Everyone.
> And sorry for not being clear, actually i want a GIS which is web based as
> many clients would be acting on it at the same time, we being on server
> side, as a desktop GIS does not has this feature.
> So I
Dear Maria,
We are collecting all the full articles that we received until now, and
we will make them available to you in order to make the final selection
and to decide which articles can be published in which scientific
magazines...
I'm really glad to have been helpful also for the Academic
Please note that the following points in the OSGeo Goals easily
encompass the idea of fostering specific communities as well as
increasing diversity:
* To promote the use of open source software in the geospatial
industry (not just foundation software) - eg. PR, training, outreach.
* To ensure a h
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