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geoTS

Methods for Handling and Analyzing Time Series of Satellite Images

Provides functions and methods for: splitting large raster objects into smaller chunks, transferring images from a binary format into raster layers, transferring raster layers into an 'RData' file, calculating the maximum gap (amount of consecutive missing values) of a numeric vector, and fitting harmonic regression models to periodic time series. The homoscedastic harmonic regression model is based on G. Roerink, M. Menenti and W. Verhoef (2000) <doi:10.1080/014311600209814>.

Versions across snapshots

VersionRepositoryFileSize
0.1.10 rolling source/ R- geoTS_0.1.10.tar.gz 729.7 KiB
0.1.10 rolling linux/jammy R-4.5 geoTS_0.1.10.tar.gz 776.9 KiB
0.1.10 latest source/ R- geoTS_0.1.10.tar.gz 729.7 KiB
0.1.10 latest linux/jammy R-4.5 geoTS_0.1.10.tar.gz 776.9 KiB
0.1.10 2026-04-23 source/ R- geoTS_0.1.10.tar.gz 729.7 KiB
0.1.10 2026-04-09 windows/windows R-4.5 geoTS_0.1.10.zip 777.7 KiB
0.1.8 2025-04-20 source/ R- geoTS_0.1.8.tar.gz 726.7 KiB

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