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stfit  

Spatio-Temporal Functional Imputation Tool
View on CRAN: Click here


Download and install stfit package within the R console
Install from CRAN:
install.packages("stfit")

Install from Github:
library("remotes")
install_github("cran/stfit")

Install by package version:
library("remotes")
install_version("stfit", "0.99.9")



Attach the package and use:
library("stfit")
Maintained by
Weicheng Zhu
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-10-02
Latest Update: 2022-10-18
Description:
A general spatiotemporal satellite image imputation method based on sparse functional data analytic techniques. The imputation method applies and extends the Functional Principal Analysis by Conditional Estimation (PACE). The underlying idea for the proposed procedure is to impute a missing pixel by borrowing information from temporally and spatially contiguous pixels based on the best linear unbiased prediction.
How to cite:
Weicheng Zhu (2020). stfit: Spatio-Temporal Functional Imputation Tool. R package version 0.99.9, https://cran.r-project.org/web/packages/stfit. Accessed 21 Nov. 2024.
Previous versions and publish date:
0.99.8 (2020-10-02 10:30)
Other packages that cited stfit R package
View stfit citation profile
Other R packages that stfit depends, imports, suggests or enhances
Complete documentation for stfit
Functions, R codes and Examples using the stfit R package
Some associated functions: ARE . NMSE . RMSE . epan . getMask . getMissingLayers . landsat106 . landsatVis . lc_cov_1d . lc_cov_1d_est . llreg . lpreg . meanEst . opts_stfit . outlier . pctMissing . rmOutlier . seffEst . smooth_spline . spreg . stfit-package . stfit_landsat . teffEst . weightMatrix . weightVector . 
Some associated R codes: PACE.R . RcppExports.R . data.R . meanEst.R . metrics.R . outlier.R . plot.R . seffEst.R . stfit-package.R . stfit_landsat.R . teffEst.R . utility.R .  Full stfit package functions and examples
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