In this blog post I use stock prices of the Borussia Dortmund (BVB) sports club to detect and characterize abrupt changes within the trend component of the time series. The main objective is, to search and find the optimal segmentation parameter which characterizes the timing and magnitude of abrupt changes best.

Continue reading

The goal of this blog post is to arrange a irregularly (with varying time intervals) spaced raster stack from Landsat into a regular time series to be used in the Breaks For Additive Season and Trend (bfast) package and function.

Continue reading