Package: sta 0.1.7

Inder Tecuapetla-Gomez

sta: Seasonal Trend Analysis for Time Series Imagery in R

Efficiently estimate shape parameters of periodic time series imagery with which a statistical seasonal trend analysis (STA) is subsequently performed. STA output can be exported in conventional raster formats. Methods to visualize STA output are also implemented as well as the calculation of additional basic statistics. STA is based on (R. Eastman, F. Sangermano, B. Ghimire, H. Zhu, H. Chen, N. Neeti, Y. Cai, E. Machado and S. Crema, 2009) <doi:10.1080/01431160902755338>.

Authors:Inder Tecuapetla-Gomez [aut, cre]

sta_0.1.7.tar.gz
sta_0.1.7.tar.gz(r-4.7-any)sta_0.1.7.tar.gz(r-4.6-any)
sta_0.1.7.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
sta/json (API)

# Install 'sta' in R:
install.packages('sta', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:
  • marismas - 10-day Composite NDMI Time Series

On CRAN:

Conda:

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

1.30 score 7 scripts 324 downloads 2 mentions 2 exports 88 dependencies

Last updated from:790c9b733b. Checks:4 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK285
source / vignettesOK280
linux-release-x86_64OK334
wasm-releaseOK189

Exports:getMastersta

Dependencies:base64encbitbrewbslibcachemclassclassIntclicodetoolscpp11crosstalkDBIDEoptimRdigestdoParallele1071evaluateextraDistrfarverfastmapfffontawesomeforeachfsgeojsonsfgeometriesgeoTSgluehighrhtmltoolshtmlwidgetshttpuviteratorsjquerylibjsonifyjsonliteKernSmoothknitrlabelinglaterlatticelazyevalleafemleafletleaflet.providersleafpoplifecyclemagrittrmapviewMASSmemoisemimeotelplyrpngpromisesproxyR6rapidjsonrrappdirsrasterRColorBrewerRcppRcppArmadillorlangrmarkdownrobustbases2sasssatellitescalesservrsfsfheadersspstringisvglitesystemfontsterratextshapingtinytextrendunitsuuidviridisLitewkxfunyaml