bfast: Breaks For Additive Season and Trend (BFAST)

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. BFAST monitoring functionality is added based on a paper that has been submitted to Remote Sensing of Environment. BFAST monitor provides functionality to detect disturbance in near real-time based on BFAST-type models.

Version: 1.4.4
Depends: R (≥ 2.0.0), graphics, stats, strucchange, MASS, forecast, zoo, raster, sp
Imports: graphics, stats, strucchange, zoo, raster
Published: 2013-03-27
Author: Jan Verbesselt [aut, cre], Achim Zeileis [aut], Rob Hyndman [ctb], Rogier De Jong [ctb]
Maintainer: Jan Verbesselt <Jan.Verbesselt at wur.nl>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: http://bfast.R-Forge.R-project.org/
NeedsCompilation: no
Citation: bfast citation info
Materials: NEWS
In views: TimeSeries
CRAN checks: bfast results

Downloads:

Reference manual: bfast.pdf
Package source: bfast_1.4.4.tar.gz
OS X binary: bfast_1.4.4.tgz
Windows binary: bfast_1.4.4.zip
Old sources: bfast archive