Thanks so much! El vie., 25 may. 2018 9:51, Roger Bivand <roger.biv...@nhh.no> escribió:
> On Fri, 25 May 2018, Javier Moreira wrote: > > > Can I use this answer to ask exactly for what it's mentioned. > > R and Postgis mostly for Easter files. > > Can you point books, online courses, tutorials, GitHub pages, anything, > to > > better understand this? > > I had been struggling to find info. > > For rpostgis, see: > > https://journal.r-project.org/archive/2018/RJ-2018-025/index.html > > and the supplementary material linked there to replicate the results in > the online article (should be in the 2018-1 issue). > > Roger > > > > > Thanks! > > > > El vie., 25 may. 2018 1:35, Tom Philippi <tephili...@gmail.com> > escribió: > > > >> What Roger said (as always). > >> > >> Note that if you use tidyverse and magrittr, dplyr and tidyverse tools > work > >> well with databases via DBI. sqldf also works with multiple SQL > database > >> backends if you're an ol dog like me and don't use tidyverse much. > >> > >> Also, since this is r-sig-*GEO*, note that postgreSQL has postGIS for > >> spatial data, which does far more than the automatic tiling of large > >> rasters in package raster. I'm seeing wonderful performance working > with a > >> 340M observation >100GB dataset of bird observation data in R via > postGIS, > >> even with "only" 32GB RAM and constrained to running win7, not > linux/unix. > >> > >> One alternative is that if your database is running on massive hardware > >> (tons of memory, many cores, etc.), it is possible to run R within both > >> postgreSQL and now MS SQL Server, the first free, the second an > additional > >> cost add-on, and both usually at the cost of painful negotiations with > DA > >> administrators for permissions to run your ad hoc R code on their SQL > >> server. If you have the hardware, you can even run R with hadoop, > although > >> I've never done that with spatial data. > >> > >> Tom 0 > >> > >> > >> On Thu, May 24, 2018 at 5:04 AM, Roger Bivand <roger.biv...@nhh.no> > wrote: > >> > >>> On Thu, 24 May 2018, Yaya Bamba wrote: > >>> > >>> Thanks to all of you. I will try with the package RMySQL and see. > >>>> > >>> > >>> Maybe look more generally through the packages depending on and > importing > >>> from DBI (https://cran.r-project.org/package=DBI) to see what is > >>> available - there are many more than RMySQL. > >>> > >>> and use the Official Statistics and HPC Task Views: > >>> > >>> https://cran.r-project.org/view=OfficialStatistics > >>> > >>> https://cran.r-project.org/view=HighPerformanceComputing > >>> > >>> to see how typical workflows (not necessarily DB-based) can be handled. > >>> The HPC TV has a section on large memory and out-of-memory approaches. > If > >>> your data are spatial in raster format, the raster package provides > some > >>> out-of-memory functionality. In sf, spatial vector data may be read > from > >>> databases too. > >>> > >>> Roger > >>> > >>> > >>> > >>>> 2018-05-24 11:33 GMT+00:00 Andres Diaz Loaiza <madi...@gmail.com>: > >>>> > >>>> Hello Yaya, > >>>>> > >>>>> Many years ago I work with a database in MySQL connected to R through > >> the > >>>>> package RMySQL. The data was stored in the MySQL and I was > connecting > >>>>> and > >>>>> using the data from R > >>>>> > >>>>> you should have a look in: > >>>>> > >>>>> https://cran.r-project.org/web/packages/RMySQL/index.html > >>>>> > >>>>> Cheers, > >>>>> > >>>>> Andres > >>>>> > >>>>> > >>>> > >>>> > >>>> > >>>> > >>> -- > >>> Roger Bivand > >>> Department of Economics, Norwegian School of Economics, > >>> Helleveien 30, N-5045 Bergen, Norway. > >>> voice: +47 55 95 93 55; e-mail: roger.biv...@nhh.no > >>> http://orcid.org/0000-0003-2392-6140 > >>> https://scholar.google.no/citations?user=AWeghB0AAAAJ&hl=en > >>> _______________________________________________ > >>> R-sig-Geo mailing list > >>> R-sig-Geo@r-project.org > >>> https://stat.ethz.ch/mailman/listinfo/r-sig-geo > >>> > >>> > >> > >> [[alternative HTML version deleted]] > >> > >> _______________________________________________ > >> R-sig-Geo mailing list > >> R-sig-Geo@r-project.org > >> https://stat.ethz.ch/mailman/listinfo/r-sig-geo > >> > > > > [[alternative HTML version deleted]] > > > > _______________________________________________ > > R-sig-Geo mailing list > > R-sig-Geo@r-project.org > > https://stat.ethz.ch/mailman/listinfo/r-sig-geo > > > > -- > Roger Bivand > Department of Economics, Norwegian School of Economics, > Helleveien 30, N-5045 Bergen, Norway. > voice: +47 55 95 93 55; e-mail: roger.biv...@nhh.no > http://orcid.org/0000-0003-2392-6140 > https://scholar.google.no/citations?user=AWeghB0AAAAJ&hl=en [[alternative HTML version deleted]] _______________________________________________ R-sig-Geo mailing list R-sig-Geo@r-project.org https://stat.ethz.ch/mailman/listinfo/r-sig-geo
