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]

stfit_0.99.9.tar.gz
stfit_0.99.9.zip(r-4.5)stfit_0.99.9.zip(r-4.4)stfit_0.99.9.zip(r-4.3)
stfit_0.99.9.tgz(r-4.4-x86_64)stfit_0.99.9.tgz(r-4.4-arm64)stfit_0.99.9.tgz(r-4.3-x86_64)stfit_0.99.9.tgz(r-4.3-arm64)
stfit_0.99.9.tar.gz(r-4.5-noble)stfit_0.99.9.tar.gz(r-4.4-noble)
stfit_0.99.9.tgz(r-4.4-emscripten)stfit_0.99.9.tgz(r-4.3-emscripten)
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:

landsat106 - Landsat data example
landsat2 - Landsat data example

On CRAN:

2.61 score 41 scripts 148 downloads 22 exports 65 dependencies

Last updated 2 years agofrom:d07d0e874a. Checks:OK: 9. Indexed: yes.

Target	Result	Date
Doc / Vignettes	OK	Nov 17 2024
R-4.5-win-x86_64	OK	Nov 17 2024
R-4.5-linux-x86_64	OK	Nov 17 2024
R-4.4-win-x86_64	OK	Nov 17 2024
R-4.4-mac-x86_64	OK	Nov 17 2024
R-4.4-mac-aarch64	OK	Nov 17 2024
R-4.3-win-x86_64	OK	Nov 17 2024
R-4.3-mac-x86_64	OK	Nov 17 2024
R-4.3-mac-aarch64	OK	Nov 17 2024

Exports:ARE epan getMissingLayers landsatVis lc_cov_1d lc_cov_1d_est llreg lpreg meanEst NMSE opts_stfit outlier pctMissing rmOutlier RMSE seffEst smooth_spline spreg stfit_landsat teffEst weightMatrix weightVector

Dependencies:abind ash bitops cli cluster codetools colorspace deldir deSolve doParallel fansi farver fda fds FNN foreach ggplot2 glue gtable hdrcde hexbin interp isoband iterators jpeg kernlab KernSmooth ks labeling lattice latticeExtra lifecycle locfit magrittr MASS Matrix mclust mgcv multicool munsell mvtnorm nlme pcaPP pillar pkgconfig png pracma R6 rainbow raster rasterVis RColorBrewer Rcpp RcppEigen RCurl rlang scales sp terra tibble utf8 vctrs viridisLite withr zoo

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
stfit: Spatial-Temporal Functional Imputation Tool	stfit-package
Absolute relative error	ARE
Epanicnicov kernel function	epan
Get image mask	getMask
Get missing layer index	getMissingLayers
Landsat data example	landsat106 landsat2
Data visualization for landsat data	landsatVis
Local constant covariance estimation	lc_cov_1d
Local constant covariance estimation	lc_cov_1d_est
Local linear regression	llreg
Local Polynomial Regression	lpreg
STFIT Mean Estimation	meanEst
Normalized Mean Square Estimation	NMSE
Options for stfit	opts_stfit
Image Outlier Detection	outlier
Missing value percentages	pctMissing
Remove outlier	rmOutlier
Root Mean Square Estimation	RMSE
STFIT Spatial Effect Estimation	seffEst
Smoothing spline regression	smooth_spline
spline regression	spreg
STFIT for Landsat data	stfit_landsat
STFIT Temporal Effect Estimation	teffEst
Weight matrix calculation	weightMatrix
Weight vector calculation	weightVector