On Sat, Sep 12, 2015 at 8:08 PM, Sören Gebbert <[email protected]> wrote: > Hi Markus, > Am 12.09.2015 14:43 schrieb "Markus Neteler" <[email protected]>: >> >> On Sat, Sep 12, 2015 at 12:42 PM, Sören Gebbert >> <[email protected]> wrote: >> > >> > Hi, >> > From 10:30 to 13:30 are 180 minutes. This is the smallest gap size >> > between the time instances. >> > And it is the greatest common divider between all gaps in the time >> > series. >> >> Sure but in the end that's not of great relevance when dealing with >> irregular, absolute data, right? >> So I can basically ignore it here? Just to be sure. > > I am not sure what you expect from the granularity? In case it is of no > relevance for you, then you can simply ignore it. If you dont need this kind > of temporal information in an aggregation process, ignore it.
Not sure myself: I have four irregular overpasses (i.e. maps) per day, from which I want to generate e.g. weekly averages. I suppose that it is not relevant then? > However, you can use it as indicator of the import procedure and time stamp > quality of your dataset. In this case indicates the granularity correctly > alligned time stamps. ok, thanks. (I added a granularity note in r66182 to the manual) ciao Markus _______________________________________________ grass-dev mailing list [email protected] http://lists.osgeo.org/mailman/listinfo/grass-dev
