Dear R Helpers, Currently I'm working with the ts package of R and created a TimeSerie from pixels extracted from satellite imagery(S10 NDVI data, 10 daily composites). I'm trying to decompose this signal in different signals (seasonal and trend).
When testing out the STL method is says => Only univariate timeseries are allowed, but the current Timeserie I'm using is univariate! => The problem is probably that this time series has to much noise so that it consequently gives the following error. > plot(stl(Timeserie)) Error in stl(Timeserie) : only univariate series are allowed. I also import the data as an ts object. A solution would be to eliminate the noise (sensor and atmospheric) with a filter (kalman/ holt-Winters/TsSmooth? Or FFT.) or the BISE method in R? Is the BISE (Best index slope extraction) function already programmed in R I couldn't find it? Much appreciated, Jan ******************************************************* Jan Verbesselt Research Associate Lab of Geomatics and Forest Engineering K.U. Leuven Vital Decosterstraat 102. B-3000 Leuven Belgium Tel:+32-16-329750 Fax: +32-16-329760 http://perswww.kuleuven.ac.be/~u0027178/VCard/mycard.php?name=janv ______________________________________________ [EMAIL PROTECTED] mailing list https://www.stat.math.ethz.ch/mailman/listinfo/r-help
