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/json (API)

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

Peer review:

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

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

On CRAN:

22 exports 0.73 score 65 dependencies 41 scripts 148 downloads

Last updated 2 years agofrom:d07d0e874a. Checks:OK: 8 NOTE: 1. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 19 2024
R-4.5-win-x86_64OKAug 19 2024
R-4.5-linux-x86_64NOTEAug 19 2024
R-4.4-win-x86_64OKAug 19 2024
R-4.4-mac-x86_64OKAug 19 2024
R-4.4-mac-aarch64OKAug 19 2024
R-4.3-win-x86_64OKAug 19 2024
R-4.3-mac-x86_64OKAug 19 2024
R-4.3-mac-aarch64OKAug 19 2024

Exports:AREepangetMissingLayerslandsatVislc_cov_1dlc_cov_1d_estllreglpregmeanEstNMSEopts_stfitoutlierpctMissingrmOutlierRMSEseffEstsmooth_splinespregstfit_landsatteffEstweightMatrixweightVector

Dependencies:abindashbitopscliclustercodetoolscolorspacedeldirdeSolvedoParallelfansifarverfdafdsFNNforeachggplot2gluegtablehdrcdehexbininterpisobanditeratorsjpegkernlabKernSmoothkslabelinglatticelatticeExtralifecyclelocfitmagrittrMASSMatrixmclustmgcvmulticoolmunsellmvtnormnlmepcaPPpillarpkgconfigpngpracmaR6rainbowrasterrasterVisRColorBrewerRcppRcppEigenRCurlrlangscalesspterratibbleutf8vctrsviridisLitewithrzoo