Collection of functions to analyse trends, trend changes and phenology events in gridded time series like from satellite observations or climate model simulations. The package provides access to different methods for 1) trend and breakpoint analysis, 2) time series smoothing and interpolation, and 3) analysis of land surface phenology.
|Author||Matthias Forkel <firstname.lastname@example.org> [aut, cre]|
|Date of publication||2016-12-20 07:51:49|
|Maintainer||Matthias Forkel <email@example.com>, Thomas Wutzler <firstname.lastname@example.org>|
AccuracyAssessment: Accuracy assessment from a contingency table
AllEqual: Check if all values in a vector are the same
AllTsteps: Convert an irregular zoo time series to a zoo time series...
AnomaliesFiltersLags: Calculate anomalies, lags and rolling windows
brgr.colors: Brown-to-green color palette for NDVI trend maps
ColorMatrix: Create a square matrix of colors
CompareClassification: Compare two classification maps
CorrectDOY: Correct day-of-year time series
CropNA: Crop outer NA values from a raster
Decompose: Simple decomposition of time series
FillPermanentGaps: Fill permanent gaps in time series
FitDoubleLogBeck: Fit a double logisitic function to a vector according to Beck...
FitDoubleLogElmore: Fit a double logisitic function to a vector according to...
GetInfoVI3g: Get meta-information from GIMMS VI3g binary file names
GetTsStatisticsRaster: Estimate statistical properties of time series in a...
greenbrown-package: Land Surface Phenology and Trend Analysis
Greenup: Identify greenup and senescence periods in time series
InterpolateMatrix: Interpolate NA values in a matrix using a moving mean
IsPermanentGap: Identify if a gap in a time series occurs permanently
Kappa: Calculate the Kappa coefficient of two classifications
KGE: Compute Kling-Gupta efficiency and related metrics of two...
KGERaster: Compute Kling-Gupta efficiency and related metrics of two...
KGETrendUncertainty: Compute uncertainty of Kling-Gupta efficiency based on...
LmSeasonalCycle: Calculate the mean seasonal cycle of a time series based on a...
MapBreakpoints: Plot map of breakpoints
MeanSeasonalCycle: Calculate the mean seasonal cycle of a time series
NamesPhenologyRaster: Get the layer names for a PhenologyRaster raster brick
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 object of class "Trend"
PhenoDeriv: Method 'Deriv' to calculate phenology metrics
Phenology: Calculate phenology metrics in time series
PhenologyNCDF: Calculate phenology metrics on time series in gridded...
PhenologyRaster: Calculate phenology metrics on time series in gridded...
PhenopixMY: Multi-year phenology analysis using phenopix
PhenoTrs: Method 'Trs' to calculate phenology metrics
plot.CompareClassification: plot a comparison of two classification rasters
PlotPhenCycle: Plot a easonal cycle with phenology metrics
plot.Phenology: Plot time series of phenology metrics
plot.PhenopixMY: Plot multi-year phenopix objects
plot.Trend: Plot trend and breakpoint results
plot.TrendGradient: Plotting function for objects of class TrendGradient
plot.TrendSample: Plot uncertainty of estimated trend dependent on start and...
PolygonNA: Plot a polygon by accounting for NA values (breaks in...
print.Phenology: Prints phenology metrics
print.Trend: Prints trends
ReadVI3g: Read and pre-process GIMMS VI3g binary files
Seasonality: Check a time series for seasonality
SimIAV: Simulate the inter-annual variability component of a...
SimRem: Simulate the short-term variability component of a surrogate...
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
SplitRasterEqually: Splits a raster in equal-area parts
SSASeasonalCycle: Calculate a modulated seasonal cycle of a time series based...
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
TrendGradient: Calculate temporal trends along a spatial gradient
TrendLongestSEG: Extract slope and p-value for the longest time series segment...
TrendNCDF: Calculate trends and trend statistics on time series in...
TrendPoly: Trend estimation based on a 4th order polynomial
TrendRaster: Calculate trends on time series in gridded (raster) data
TrendRunmed: Trend estimation based on a running median
TrendSample: Compute trend statistics by sampling a time series according...
TrendSeasonalAdjusted: Trend estimation based on seasonal-adjusted time series
TrendSegmentsRaster: Identify for each multi-temporal raster layer the number of...
TrendSpline: Trend estimation based on a smoothing splines
TrendSSA: Trend estimation based on SSA (singluar spectrum analysis)
TrendSTL: Trend estimation based on STL (Seasonal Decomposition of Time...
TrendSTM: Trend estimation based on a season-trend model
TrendUncertainty: Compute uncertainties in trend statistics according to...
TSGFdoublelog: Temporal smoothing and gap filling using double logisitic...
TSGFlinear: Temporal smoothing and gap filling using linear interpolation
TSGFphenopix: Temporal smoothing and gap filling using phenopix
TSGFspline: Temporal smoothing and gap filling using splines
TSGFssa: Temporal smoothing and gap filling using singular spectrum...
TSGFstm: Temporal smoothing and gap filling based on a season-trend...
TsPP: Pre-processing of time series
WriteNCDF: Write raster objects to NetCDF files
WriteNCDF4: Write NetCDF files