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dtwSat  

Time-Weighted Dynamic Time Warping for Satellite Image Time Series Analysis
View on CRAN: Click here


Download and install dtwSat package within the R console
Install from CRAN:
install.packages("dtwSat")

Install from Github:
library("remotes")
install_github("cran/dtwSat")

Install by package version:
library("remotes")
install_version("dtwSat", "1.0.0")



Attach the package and use:
library("dtwSat")
Maintained by
Victor Maus
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2015-10-10
Latest Update: 2022-10-11
Description:
Provides a robust approach to land use mapping using multi-dimensional (multi-band) satellite image time series. By leveraging the Time-Weighted Dynamic Time Warping (TWDTW) distance metric in tandem with a 1 Nearest-Neighbor (1-NN) Classifier, this package offers functions to produce land use maps based on distinct seasonality patterns, commonly observed in the phenological cycles of vegetation. The approach is described in Maus et al. (2016) and Maus et al. (2019) . A primary advantage of TWDTW is its capability to handle irregularly sampled and noisy time series, while also requiring minimal training sets. The package includes tools for training the 1-NN-TWDTW model, visualizing temporal patterns, producing land use maps, and visualizing the results.
How to cite:
Victor Maus (2015). dtwSat: Time-Weighted Dynamic Time Warping for Satellite Image Time Series Analysis. R package version 1.0.0, https://cran.r-project.org/web/packages/dtwSat. Accessed 28 Mar. 2025.
Previous versions and publish date:
0.1.0 (2015-10-10 01:21), 0.2.0 (2016-07-10 18:46), 0.2.1 (2016-07-19 11:24), 0.2.2 (2017-03-31 08:12), 0.2.3 (2017-05-16 22:57), 0.2.4 (2018-05-25 09:45), 0.2.5 (2019-01-28 01:10), 0.2.6 (2020-03-03 01:20), 0.2.7 (2021-09-19 15:20), 0.2.8 (2022-10-11 18:02), 1.0.0 (2023-09-22 09:20)
Other packages that cited dtwSat R package
View dtwSat citation profile
Other R packages that dtwSat depends, imports, suggests or enhances
Functions, R codes and Examples using the dtwSat R package
Some associated functions: MOD13Q1.MT.yearly.patterns . MOD13Q1.patterns.list . MOD13Q1.ts.labels . MOD13Q1.ts.list . MOD13Q1.ts . createPatterns . dtwSat . get . getDatesFromDOY . getTimeSeries . linearWeight . logisticWeight . plot . plotAccuracy . plotAdjustedArea . plotAlignments . plotArea . plotChanges . plotClassification . plotCostMatrix . plotDistance . plotMapSamples . plotMaps . plotMatches . plotPaths . plotPatterns . plotTimeSeries . reexports . resampleTimeSeries . shiftDates . subset . twdtwApply . twdtwAssess . twdtwAssessment-class . twdtwClassify . twdtwCrossValidate . twdtwCrossValidation-class . twdtwMatches-class . twdtwRaster-class . twdtwReduceTime . twdtwTimeSeries-class . twdtwXtable . 
Some associated R codes: class-crossValidation.R . class-twdtwAssessment.R . class-twdtwMatches.R . class-twdtwRaster.R . class-twdtwTimeSeries.R . createPatterns.R . data.R . dtw.R . dwtSat.R . getInternals.R . getMatchingDates.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 . twdtwAssess.R . twdtwClassify.R . twdtwCrossValidate.R . twdtwDist.R . twdtwXtable.R . twdtw_reduce_time.R . utils.R . zzz.R .  Full dtwSat package functions and examples
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