On Sun, Jun 16, 2013 at 10:20 PM, Margherita Di Leo <dileomargher...@gmail.com> wrote: > Hi, > > > On Sun, Jun 16, 2013 at 9:19 PM, Markus Metz <markus.metz.gisw...@gmail.com> > wrote: >> >> On Sun, Jun 16, 2013 at 8:50 PM, Sören Gebbert >> <soerengebb...@googlemail.com> wrote: >> > Hi, >> > Nikos is absolutely right, the ideal candidate for spline interpolation >> > in >> > time for raster maps is r.series.interp. There is no other module that >> > performs temporal interpolation. >> >> r.hants does temporal interpolation, to a degree. Assuming you have >> e.g the raster maps tseries.1, tseries.3, tseries.5, tseries.7, >> tseries.9, you could create dummy tseries maps tseries.2, tseries.4, >> tseries.6, tseries.7 with >> r.mapcalc "tseries.2 = null()" >> etc, then >> >> r.hants >> in=tseries.1,tseries.2,tseries.3,tseries.4,tseries.5,tseries.6,tseries.7,tseries.8,tseries.9 >> >> with the appropriate filtering options. >> >> > Thank you for all your inputs. Actually what I should do is not a proper > interpolation but a regression
That sounds like r.series (one time series) or r.regression.series (regression of two time series). Markus M > > -- > Best regards, > > Margherita DI LEO > Postdoctoral Researcher > > European Commission - DG JRC > Institute for Environment and Sustainability (IES) > Via Fermi, 2749 > I-21027 Ispra (VA) - Italy - TP 261 > > Tel. +39 0332 78 3600 > margherita.di-...@jrc.ec.europa.eu > > Disclaimer: The views expressed are purely those of the writer and may not > in any circumstance be regarded as stating an official position of the > European Commission. _______________________________________________ grass-dev mailing list grass-dev@lists.osgeo.org http://lists.osgeo.org/mailman/listinfo/grass-dev
