I have 12 raster images which I stack them. Then I converted the rasterstack to a matrix, I remove the NA's from the matrix and I convert the matrix to monthly time-series matrix. Finally, I run the bfastlite function, like so:
library(bfast) library(raster) wd <- "path" l <- list.files(paste0(wd), pattern='.tif$', all.files=TRUE, full.names=FALSE) r <- raster::stack(paste0(wd, l)) m <- raster::as.matrix(r) m <- m[!rowSums(is.na(m)), ] # convert the matrix to timeseries matrix tm <- ts(data = m, start = c(2019, 1), end = c(2019, 12), frequency = 12, class = "ts") class(tm) bf <- bfastlite( tm, formula = response ~ trend + harmon, order = 3, breaks = "LWZ", na.action = na.omit, stl = "trend", decomp = "stl", sbins = 1, h = 0.5, level = 0.5, type = "OLS-MOSUM" ) And the error: Error in stats::stl(x, s.window = "periodic") : series is not periodic or has less than two periods I have tried many variations in the parameters of the bfastlite function. Any ideas what that error means and how I can overcome it? The dataset can be downloaded from my GoogleDrive ( https://drive.google.com/drive/folders/1V115zpdU2-5fXssI6iWv_F6aNu4E5qA7). RStudio 2023.12.0+369, R 4.3.2, Windows 11. [[alternative HTML version deleted]] _______________________________________________ R-sig-Geo mailing list R-sig-Geo@r-project.org https://stat.ethz.ch/mailman/listinfo/r-sig-geo