Can't personally help, but I assume you've checked out the CRAN "Spatial" task view, right?
https://cran.r-project.org/web/views/Spatial.html Cheers, Bert Bert Gunter "The trouble with having an open mind is that people keep coming along and sticking things into it." -- Opus (aka Berkeley Breathed in his "Bloom County" comic strip ) On Sat, Mar 25, 2017 at 10:42 AM, Ismail SEZEN <sezenism...@gmail.com> wrote: > Hello Everyone, > > I have a particular data structure and need your advice what would be the > best class/object type to store this kind of a data. > > In summary, data is consist of a time series of vertical observations of more > than one variables. Observations are made at a particular latitude/longitude > location. Hence, I may have observation locations more than one. > > In detail, imagine a list of data.frames and each data.frame contains 7 > columns and variable number of rows. Rows represent the vertical coordinate > meaning height from surface. Columns are observed variables. Each list of > data.frame is belong to a single measurement location that has a latitude and > longitude. > > So, this is a time series of data.frames but number of rows might change. Is > there a class to store this kind of data, for instance, such as > SpatialPoints, SPatialPointsDataFrame or RasterStack or Raster object? > > I’m asking this question, because I want to take advantage of a ready class > for statistical calculations. > > Thanks in advance; > > Ismail SEZEN > ______________________________________________ > R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.