Package: geoTS 0.1.10

Inder Tecuapetla-Gómez

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>.

Authors:Inder Tecuapetla-Gómez [aut, cre]

geoTS_0.1.10.tar.gz
geoTS_0.1.10.zip(r-4.7-any)geoTS_0.1.10.zip(r-4.6-any)
geoTS_0.1.10.tar.gz(r-4.7-any)geoTS_0.1.10.tar.gz(r-4.6-any)
geoTS_0.1.10.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
geoTS/json (API)

# Install 'geoTS' in R:
install.packages('geoTS', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.56 score 1 packages 12 scripts 362 downloads 8 exports 13 dependencies

Last updated from:5b7962fcd1. Checks:6 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK200
source / vignettesOK187
linux-releaseOK188
windows-develOK176
windows-releaseOK190
wasm-releaseOK123

Exports:haRmonicshetervarmatrixToRastermaxLagMissValraster_intersect_spsplit_replacetransfer_bin_rastertransfer_raster_RData

Dependencies:bitcodetoolsDEoptimRdoParallelffforeachiteratorslatticerasterRcpprobustbasespterra