I agree. It's difficult to see any reason that someone who currently uses R/GRASS would go to ESRI for spatial statistics. I come from a long history as an ESRI user with an interest in spatial stats. As others have said, ArcGIS may give you the basics quickly and easily, but it is limited and expensive.
Actually, ESRI giving spatial statistics any kind of attention is a bonus for R users. The new ArcGIS spatial stats functions may draw in some typical GIS users to take a look (just like the ArcGIS GeoStat ext did years ago), but once they need to do more intensive work, or modify parameters, or deal with larger datasets, or get tired of crashes, etc..., they will look elsewhere (again, like ArcGIS GeoStat did), and R/GRASS is right there waiting. - John **************************************** John Callahan Geospatial Application Developer Delaware Geological Survey University of Delaware 227 Academy St, Newark DE 19716-7501 Tel: (302) 831-3584 Email: [EMAIL PROTECTED] http://www.dgs.udel.edu **************************************** [EMAIL PROTECTED] wrote: > Paul, > > Not to mention the huge cost of ESRI products and the fact that they run only > on the MS-Windows platform. R also integrates well with GRASS GIS. > Personally, I can not see any compelling reasons to go the ESRI route vs > R/GRASSÂ… > > I feel a great debt of gratitude to the selfless developers of R & GRASS! > > Tom > > ----- Original Message ----- > From: Paul Hiemstra <[EMAIL PROTECTED]> > Date: Thursday, July 3, 2008 7:54 am > Subject: Re: [R-sig-Geo] Impact of ArcGIS 8.3 beta's new spatial statistical > functions in its Spatial Analyst Extension > > >> Dear Hisaji, >> >> I think that the choice of people for R is not only based on the >> fact >> that a certain method is only available in R. R is much more >> flexible in >> working with data, allows scripting, allows you to see exactly how >> a >> method works, allows you to extend or develop methods and if you >> write >> in script files it also provides a record of what you have done. >> Apart >> from spatial analysis, R also provides a very wide range of >> "normal" >> statistical methods that are not available in ArcGIS (linear >> regression >> and such). >> >> So I don't think a lot of people will forsake R once a few more >> methods >> become available in ArcGIS. >> >> regards, >> Paul >> >> Hisaji ONO wrote: >> >>> Hi. >>> >>> What do you think about ArcGIS 8.3's new statistical >>> functions(Calculation of spatial or network, GWR, >>> Global/Local Moran, Gi etc.) in its Spatial Analyst >>> Extension described in >>> >>> >> http://webhelp.esri.com/arcgisdesktop/9.3/pdf/Whats_New_In_ArcGIS_93.pdf?> >> >>> Current R's spdep's and spgwr's and others' end users >>> will loose interests of them and go to use ESRI's apart >>> from R's? >>> >>> And will decrease activities of developments of >>> (geo)spatial data analysis tools in R? >>> >>> >>> >>> Regards. >>> >>> _______________________________________________ >>> R-sig-Geo mailing list >>> R-sig-Geo@stat.math.ethz.ch >>> https://stat.ethz.ch/mailman/listinfo/r-sig-geo >>> >>> >> -- >> Drs. Paul Hiemstra >> Department of Physical Geography >> Faculty of Geosciences >> University of Utrecht >> Heidelberglaan 2 >> P.O. Box 80.115 >> 3508 TC Utrecht >> Phone: +31302535773 >> Fax: +31302531145 >> http://intamap.geo.uu.nl/~paul >> >> _______________________________________________ >> R-sig-Geo mailing list >> R-sig-Geo@stat.math.ethz.ch >> https://stat.ethz.ch/mailman/listinfo/r-sig-geo >> >> > > _______________________________________________ > R-sig-Geo mailing list > R-sig-Geo@stat.math.ethz.ch > https://stat.ethz.ch/mailman/listinfo/r-sig-geo > [[alternative HTML version deleted]]
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