c(person('Victor', 'Maus', role = c('aut', 'cre'), email = 'vwmaus1@gmail.com', comment = c(ORCID = "0000-0002-7385-4723")),
person('Marius', 'Appel', role = c('ctb'), comment = c(ORCID = "0000-0001-5281-3896")),
person('Nikolas', 'Kuschnig', role = c('ctb'), comment = c(ORCID = "0000-0002-6642-2543")),
person('Toni',   'Giorgino', role = c('ctb')))
Provides an implementation of the Time-Weighted Dynamic Time
Warping (TWDTW) method for land cover mapping using satellite image time series.
TWDTW compares unclassified satellite image time series with a set of known
temporal patterns (e.g. phenological cycles associated with the vegetation).
Using 'dtwSat' the user can build temporal patterns for land cover types, apply
the TWDTW analysis for satellite datasets, visualize the results of the time
series analysis, produce land cover maps, create temporal plots for land cover
change, and compute accuracy assessment metrics.
methods, rgdal, dtw, proxy, scales, reshape2, grDevices,
RColorBrewer, plyr, stats, sp, lubridate, caret, mgcv, xtable,
Rdpack, data.table
Victor Maus [aut, cre] (<https://orcid.org/0000-0002-7385-4723>),
Marius Appel [ctb] (<https://orcid.org/0000-0001-5281-3896>),
Nikolas Kuschnig [ctb] (<https://orcid.org/0000-0002-6642-2543>),
Toni Giorgino [ctb]
'class-crossValidation.R' 'class-twdtwRaster.R'
'class-twdtwAssessment.R' 'class-twdtwTimeSeries.R'
'class-twdtwMatches.R' 'createPatterns.R' 'data.R' 'dtw.R'
'dwtSat.R' 'getInternals.R' 'getTimeSeries.R' 'linearWeight.R'
'logisticWeight.R' 'methods.R' 'miscellaneous.R' 'plot.R'
'plotAccuracy.R' 'plotAdjustedArea.R' 'plotAlignments.R'
'plotArea.R' 'plotChanges.R' 'plotClassification.R'
'plotCostMatrix.R' 'plotDistance.R' 'plotMapSamples.R'
'plotMaps.R' 'plotMatches.R' 'plotPaths.R' 'plotPatterns.R'
'plotTimeSeries.R' 'resampleTimeSeries.R' 'subset.R' 'twdtw.R'
'twdtwApply.R' 'twdtwApplyParallel.R' 'twdtwAssess.R'
'twdtwClassify.R' 'twdtwCrossValidate.R' 'twdtwDist.R'
'twdtwXtable.R' 'twdtw_reduce_time.R' 'zzz.R'