bfast-package {bfast} | R Documentation |
BFAST integrates the decomposition of time series into trend, seasonal, and remainder components with methods for detecting and characterizing abrupt changes within the trend and seasonal components. BFAST can be used to analyze different types of satellite image time series and can be applied to other disciplines dealing with seasonal or non-seasonal time series,such as hydrology, climatology, and econometrics. The algorithm can be extended to label detected changes with information on the parameters of the fitted piecewise linear models.
The package contains:
bfast
: the main function that does the iterative decomposition and break detection as described
in Verbesselt et al (in press);
bfast
;
simts
: an example data set;
harvest
: an NDVI time series of a P. radiata plantation that is harvested.
Jan Verbesselt and Rob Hyndman
Verbesselt, J., R. Hyndman, G. Newnham, and D. Culvenor (In Press). Detecting trend and seasonal changes in satellite image time series. Remote Sensing of Environment. http://dx.doi.org/10.1016/j.rse.2009.08.014. Or see http://robjhyndman.com/papers/bfast1.