bfast-package {bfast}R Documentation

BFAST (Breaks For Additive Seasonal and Trend)

Description

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.

Details

The package contains:

Author(s)

Jan Verbesselt and Rob Hyndman

References

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.


[Package bfast version 1.1 Index]