Package: geoTS 0.1.8

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_0.1.8.tar.gz
geoTS_0.1.8.tar.gz(r-4.5-noble)geoTS_0.1.8.tar.gz(r-4.4-noble)
geoTS_0.1.8.tgz(r-4.4-emscripten)geoTS_0.1.8.tgz(r-4.3-emscripten)
geoTS.pdf |geoTS.html
geoTS/json (API)

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

Peer review:

Datasets:

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

1.78 score 2 packages 9 scripts 240 downloads 8 exports 13 dependencies

Last updated 2 years agofrom:f66e073e81. Checks:OK: 1 NOTE: 1. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 17 2024
R-4.5-linuxNOTENov 17 2024

Exports:haRmonicshetervarmatrixToRastermaxLagMissValraster_intersect_spsplit_replacetransfer_bin_rastertransfer_raster_RData

Dependencies:bitcodetoolsDEoptimRdoParallelffforeachiteratorslatticerasterRcpprobustbasespterra