stfit: Spatio-Temporal Functional Imputation Tool

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.

Version:	0.99.9
Depends:	R (≥ 3.5.0)
Imports:	Rcpp, Matrix, doParallel, foreach, abind, fda, raster, rasterVis, RColorBrewer
LinkingTo:	Rcpp
Suggests:	testthat, dplyr
Published:	2022-10-18
DOI:	10.32614/CRAN.package.stfit
Author:	Weicheng Zhu [aut, cre]
Maintainer:	Weicheng Zhu <mingsnu at gmail.com>
BugReports:	https://github.com/mingsnu/stfit/issues
License:	GPL-3
NeedsCompilation:	yes
In views:	MissingData
CRAN checks:	stfit results

Documentation:

Reference manual:

stfit.pdf

Downloads:

Package source:	stfit_0.99.9.tar.gz
Windows binaries:	r-devel: stfit_0.99.9.zip, r-release: stfit_0.99.9.zip, r-oldrel: stfit_0.99.9.zip
macOS binaries:	r-release (arm64): stfit_0.99.9.tgz, r-oldrel (arm64): stfit_0.99.9.tgz, r-release (x86_64): stfit_0.99.9.tgz, r-oldrel (x86_64): stfit_0.99.9.tgz
Old sources:	stfit archive

Linking:

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