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: | 0.99.8 |
| Depends: | R (≥ 3.5.0) |
| Imports: | Rcpp, Matrix, doParallel, foreach, abind, fda, raster, rasterVis, RColorBrewer |
| LinkingTo: | Rcpp |
| Suggests: | testthat, dplyr |
| Published: | 2020-10-02 |
| Author: | Weicheng Zhu [aut, cre] |
| Maintainer: | Weicheng Zhu <mingsnu at gmail.com> |
| BugReports: | https://github.com/mingsnu/stfit/issues |
| License: | GPL-3 |
| NeedsCompilation: | yes |
| CRAN checks: | stfit results |
| Reference manual: | stfit.pdf |
| Package source: | stfit_0.99.8.tar.gz |
| Windows binaries: | r-devel: stfit_0.99.8.zip, r-release: stfit_0.99.8.zip, r-oldrel: stfit_0.99.8.zip |
| macOS binaries: | r-release: stfit_0.99.8.tgz, r-oldrel: stfit_0.99.8.tgz |
Please use the canonical form https://CRAN.R-project.org/package=stfit to link to this page.