Package: stfit 0.99.9

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.

Authors:Weicheng Zhu [aut, cre]

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stfit.pdf |stfit.html
stfit/json (API)

# Install 'stfit' in R:
install.packages('stfit', repos = c('https://mingsnu.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/mingsnu/stfit/issues

Uses libs:
  • c++– GNU Standard C++ Library v3
Datasets:

On CRAN:

Conda:

cpp

2.61 score 41 scripts 178 downloads 22 exports 65 dependencies

Last updated 2 years agofrom:d07d0e874a. Checks:11 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 15 2025
R-4.5-win-x86_64OKFeb 15 2025
R-4.5-mac-x86_64OKFeb 15 2025
R-4.5-mac-aarch64OKFeb 15 2025
R-4.5-linux-x86_64OKFeb 15 2025
R-4.4-win-x86_64OKFeb 15 2025
R-4.4-mac-x86_64OKFeb 15 2025
R-4.4-mac-aarch64OKFeb 15 2025
R-4.3-win-x86_64OKFeb 15 2025
R-4.3-mac-x86_64OKFeb 15 2025
R-4.3-mac-aarch64OKFeb 15 2025

Exports:AREepangetMissingLayerslandsatVislc_cov_1dlc_cov_1d_estllreglpregmeanEstNMSEopts_stfitoutlierpctMissingrmOutlierRMSEseffEstsmooth_splinespregstfit_landsatteffEstweightMatrixweightVector

Dependencies:abindashbitopscliclustercodetoolscolorspacedeldirdeSolvedoParallelfansifarverfdafdsFNNforeachggplot2gluegtablehdrcdehexbininterpisobanditeratorsjpegkernlabKernSmoothkslabelinglatticelatticeExtralifecyclelocfitmagrittrMASSMatrixmclustmgcvmulticoolmunsellmvtnormnlmepcaPPpillarpkgconfigpngpracmaR6rainbowrasterrasterVisRColorBrewerRcppRcppEigenRCurlrlangscalesspterratibbleutf8vctrsviridisLitewithrzoo