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: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=stfit to link to this page.
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