[R] Need class/object type advice to store a particular data structure

Bert Gunter bgunter.4567 at gmail.com
Sat Mar 25 21:12:33 CET 2017


... or, better yet, the SpatioTemperal task view ...

https://cran.r-project.org/web/views/SpatioTemporal.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 1:10 PM, Bert Gunter <bgunter.4567 at gmail.com> wrote:
> 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 <sezenismail at 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
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