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.zip(r-4.7-any)sta_0.1.7.zip(r-4.6-any)
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 254 downloads 2 mentions 2 exports 87 dependencies

Last updated from:790c9b733b. Checks:2 NOTE, 4 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develNOTE294
source / vignettesOK251
linux-releaseOK289
windows-develNOTE262
windows-releaseOK241
wasm-releaseOK181

Exports:getMastersta

Dependencies:base64encbitbrewbslibcachemclassclassIntclicodetoolscpp11crosstalkDBIDEoptimRdigestdoParallele1071evaluateextraDistrfarverfastmapfffontawesomeforeachfsgeojsonsfgeometriesgeoTSgluehighrhtmltoolshtmlwidgetshttpuviteratorsjquerylibjsonifyjsonliteKernSmoothknitrlabelinglaterlatticelazyevalleafemleafletleaflet.providersleafpoplifecyclemagrittrmapviewmemoisemimeotelplyrpngpromisesproxyR6rapidjsonrrappdirsrasterRColorBrewerRcppRcppArmadillorlangrmarkdownrobustbases2sasssatellitescalesservrsfsfheadersspstringisvglitesystemfontsterratextshapingtinytextrendunitsuuidviridisLitewkxfunyaml