class for georeferenced time series
Hi Wouter, I'm not an sp developer. Anyway, I think you should take into account memory issues for hydrological modelling. So, depending on the functions you are preparing, to include all the attributes of sp classes in time series (either spatially lumped or distributed) passed as arguments to the underlying functions (I guess C code), may make your code slower (e.g., if it is to conduct MC runs or optimizations). So, perhaps some functions should be stripped of all attributes, mostly if spatial distributed models are to be used. Of course this may not apply within a very few years. Best wishes, Javier --- Javier Garc?a-Pintado Euromediterranean Water Institut 75 Trotsworth Court Christchurch Road Virginia Water GU25 4H Surrey United Kingdom
Hi all, this question is mainly aimed at the developers of sp, but any feedback is welcome. We are designing some classes for hydrological modelling in R (the r-hydro package on R-Forge) and facing the decision of how to design a class for georeferenced time series (e.g., a precipitation or river flow series, the first referring to a point and the second to an area). We're considering an xts time series with an sp object as attribute, but there may be other options (xts as data slot in an sp object for instance) that may be preferrable for reasons beyond my knowledge. Also, there may be similar efforts underway of which we have no knowledge. cheers wouter
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