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stfit (version 0.99.9)

Spatio-Temporal Functional Imputation Tool

Description

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.

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Version

Install

install.packages('stfit')

Monthly Downloads

187

Version

0.99.9

License

GPL-3

Maintainer

Weicheng Zhu

Last Published

October 18th, 2022

Functions in stfit (0.99.9)

rmOutlier

Remove outlier
smooth_spline

Smoothing spline regression
meanEst

STFIT Mean Estimation
outlier

Image Outlier Detection
llreg

Local linear regression
pctMissing

Missing value percentages
spreg

spline regression
lpreg

Local Polynomial Regression
opts_stfit

Options for stfit
seffEst

STFIT Spatial Effect Estimation
weightVector

Weight vector calculation
teffEst

STFIT Temporal Effect Estimation
stfit-package

stfit: Spatial-Temporal Functional Imputation Tool
weightMatrix

Weight matrix calculation
stfit_landsat

STFIT for Landsat data
landsatVis

Data visualization for landsat data
lc_cov_1d_est

Local constant covariance estimation
ARE

Absolute relative error
getMask

Get image mask
epan

Epanicnicov kernel function
NMSE

Normalized Mean Square Estimation
landsat106

Landsat data example
RMSE

Root Mean Square Estimation
getMissingLayers

Get missing layer index
lc_cov_1d

Local constant covariance estimation