On Sun, 12 Mar 2006, Ferran Carrascosa wrote: > Hi r-users, > > I would like to know if R have any solution to the "Address standardization". > The problem is to classify a database of addresses with the real > addresses of a streets of Spain. Ideally, I would like to assign > Postal code, census data and other geographic information.
There are no such built-in databases in R, and commercial solutions are typically costly. I assume you have addresses, and need a spatial index or key to associate the addresses with polygon containers like postcodes or census tracts. If there are not too many and they are all close to each other, a GPS and a bike are very effective ... Watch out for false positives in commercial automatic address matching, they may be about 10% (mostly typing errors in input data, but can be honest errors in the software). > > If this is not possible I would like to know solutions in R about text > mining, text classification, distance within text data,... > RSiteSearch("text mining") is quite productive. > Any help will be appreciate > > Thanks in advance > > Ferran Carrascosa > > ______________________________________________ > R-help@stat.math.ethz.ch mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html > -- Roger Bivand Economic Geography Section, Department of Economics, Norwegian School of Economics and Business Administration, Helleveien 30, N-5045 Bergen, Norway. voice: +47 55 95 93 55; fax +47 55 95 95 43 e-mail: [EMAIL PROTECTED] ______________________________________________ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html