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sta (version 0.1.7)

Seasonal Trend Analysis for Time Series Imagery in R

Description

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) .

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Version

Install

install.packages('sta')

Monthly Downloads

122

Version

0.1.7

License

GPL (>= 2)

Maintainer

Inder Tecuapetla-G<c3><b3>mez

Last Published

May 30th, 2022

Functions in sta (0.1.7)

sta-package

Statistical Trend Analysis (STA) for Time Series of Satellite Imagery
plot.staNumeric

Plot method for sta function
ndmi

10-day Composite NDMI RasterStack
sta

Statistical Seasonal Trend Analysis for numeric vector or RasterStack
plot.staMatrix

Plot method for sta function
getMaster

Get a RasterLayer with no missing values from a Raster* object
marismas

10-day Composite NDMI Time Series