[R-sig-Geo] Classes for spatio-temporal data?

[Mauricio Zambrano]

Dear Christian and Edzder,

I'm glad to hear about this, because I'm also thinking about
"extending" in some way the SpatialPointsDataFrames class of the 'sp'
package, for making easier the spatio-temporal interpolations within
R.

So far I'm only working with regular time point data, with
daily/monthly/annual sampling frequency, but I'm very interested in
collaborating in this effort.

I'll be looking forward to hear some news about this.

Kind regards,

Mauricio
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Linux user  #454569 -- Ubuntu user #17469




2009/9/10 Edzer Pebesma <edzer.pebesma at uni-muenster.de>:
> Christian, I'm very interested in both: collaborating and watching.
>
> Some previous work that I'm aware of: package trip (on CRAN) extends
> SpatialPointsDataFrames basically in the attributes, by defining two
> columns of which one is the time stamp and the other the (animal or
> trip) ID. In chapter 6 of "Applied Spatial Data Analysis with R", this
> example is discussed, and an example is given for creating a class for
> space-time grids by extending SpatialGrid and SpatialGridDataFrame. The
> example R code is found at http://asdar-book.org/book/csdacm.R
>
> As with spatial data, you'll be facing the decision whether to make your
> spatial dimension regular (discrete, "raster"), or continuous
> ("vector"). In your example, space is continuous ("Points"), and time is
> regular. Will your methods of analysis and visualisation only be
> suitable for regular time data, or can/should they handle continuous as
> well?
>
> Blair Christian wrote:
>> Hi All,
>>
>> I'm starting to work with spatio temporal data, and wondered if there were
>> any extensions to the sp package that include a temporal component. (for
>> example, any classes that might contain 3 objects/data frames, one for the
>> spatial information, one for the temporal information, and one for the
>> data).
>>
>> My first goals are (1) getting some basic classes together for my own narrow
>> set of circumstances (focus on SpatialPointsDataFrames with regular hourly
>> time series), and (2) getting some basic visualization together.  So far
>> I've used some kriging (in combination with the animation package) for
>> making movies of kriging predictions along with some FDA of the temporal
>> side (fourier series to examine the strong diurnal pattern).  It would be
>> nice to be able to eventually make some visualizations in a way that could
>> be shared with others, and I know that kml allows you to share both the raw
>> data and use, say, google earth to visualize the time element.
>>
>> I know it sounds ambitious, but it's something I'll be working on off and on
>> over the next year.  I have enough data at the moment that it's worth my
>> while to add some structure ( (S4?) classes/methods) to my dusty decks.
>>
>> If anybody is interested in collaborating or watching, I'll try and put up a
>> website at some point, maybe with a skeleton package.
>>
>> Cheers,
>> Blair
>>
>>       [[alternative HTML version deleted]]
>>
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>
> --
> Edzer Pebesma
> Institute for Geoinformatics (ifgi), University of Münster
> Weseler Straße 253, 48151 Münster, Germany. Phone: +49 251
> 8333081, Fax: +49 251 8339763 http://ifgi.uni-muenster.de/
> http://www.springer.com/978-0-387-78170-9 e.pebesma at wwu.de
>
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