Trend analysis on earth observation data


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Documentation for package ‘greenbrown’ version 1.1

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greenbrown-package Trend analysis on earth observation data
AccuracyAssessment Calculate an accuracy assessment from a contingency table
AllEqual Check if all values in a vector are the same
brgr.colors Brown-to-green color palette for NDVI trend maps
ColorMatrix Create a square matrix of colors
CompareClassification Compare two raster layers with classified values
Decompose Simple decomposition of time series
GetInfoVI3g Get meta-information from GIMMS VI3g binary file names
GetTsStatisticsRaster Estimate statistical properties of time series in a multi-temporal raster dataset
InterpolateMatrix Interpolate NA values in a matrix using a moving mean
Kappa Calculate the Kappa coefficient of two classifications
MeanSeasonalCycle Calculate the mean seasonal cycle of a time series
NamesTrendRaster Get the layer names for a TrendRaster raster brick
ndvi Time series of Normalized Difference Vegetation Index
ndvimap Map of Normalized Difference Vegetation Index
NoBP Initialize an empty list with breakpoints
NoTrend Initialize an empty list of trends
plot.CompareClassification plot a comparison of two classification rasters
plot.Trend Create time series plots with trend lines
print.Trend Print a summary of calculated trends
ReadVI3g Read and pre-process GIMMS VI3g binary files
SimIAV Simulate the inter-annual variability component of a surrogate time series
SimRem Simulate the short-term variability component of a surrogate time series
SimSeas Simulate the seasonal component of a surrogate time series
SimTrend Simulate trend and breakpoints of a surrogate time series
SimTs Simulate surrogate time series
SSASeasonalCycle Calculate a modulated seasonal cycle of a time series based on singular spectrum analysis (SSA)
summary.Trend Print a summary of calculated trends
Trend Calculate trends and trend changes in time series
TrendAAT Trend estimation based on annual aggregated time series
TrendClassification Classify a raster in greening and browning trends
TrendRaster Calculate trends on time series in gridded (raster) data
TrendSeasonalAdjusted Trend estimation based on seasonal-adjusted time series
TrendSegmentsRaster Create a multi-temporal raster brick that indicates for each time step the number of the trend segment
TrendSTM Trend estimation based on a season-trend model