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geoTS  

Methods for Handling and Analyzing Time Series of Satellite Images
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("geoTS", "0.1.8")



Attach the package and use:
library("geoTS")
Maintained by
Inder Tecuapetla-Gómez
[Scholar Profile | Author Map]
First Published: 2020-03-06
Latest Update: 2022-11-17
Description:
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) .
How to cite:
Inder Tecuapetla-Gómez (2020). geoTS: Methods for Handling and Analyzing Time Series of Satellite Images. R package version 0.1.8, https://cran.r-project.org/web/packages/geoTS. Accessed 20 Feb. 2025.
Previous versions and publish date:
0.1.3 (2020-03-06 13:30)
Other packages that cited geoTS R package
View geoTS citation profile
Other R packages that geoTS depends, imports, suggests or enhances
Complete documentation for geoTS
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