R: Multivariate Functional Spatial Data

# Multivariate Functional Spatial Data

## Documentation for package ‘MFSD’ version 0.1.1

- DESCRIPTION file.

## Help Pages

%/%.fsd.fd | Subsetting a functional spatial data object
*.fsd.fd | Arithmetic for functional spatial data objects
+.fsd.fd | Arithmetic for functional spatial data objects
-.fsd.fd | Arithmetic for functional spatial data objects
/.fsd.fd | Arithmetic for functional spatial data objects
as.fd.fsd.fd | Converting a functional spatial data object into a functional data object
as.fsd.fd | Converting a functional data object into a functional spatial data object
center.fsd.fd | Compute the centered version of spatial functional data
diff.fsd.fd | Calculate the differences for a Functional Spatial Data Object
fsd.covariance | Estimate autocovariance operators
fsd.fd | Creating a functional spatial data object
fsd.filter | Creating a functional spatial filter
fsd.filter.is.unilateral | Check if functional spatial filter is unilateral
fsd.fourier | Compute the Fourier transform
fsd.fourier.inverse | Compute the Fourier inverse
fsd.jb.test | Perform a Jarque-Bera Test on Normality of Functional Spatial Data
fsd.norm | Compute the norm of functional data
fsd.perm | Permute the dimensions of a Functional Spatial Data Grid
fsd.plot.covariance | Plot the autocovariance operator of functional spatial data
fsd.plot.data | Plot functional spatial data
fsd.plot.filters | Plot functional spatial filters
fsd.sfarma | Simulate a spatial functional ARMA process
fsd.spca | Perform Spectral Principal Components Analysis on Spatial Functional Data
fsd.spca.cov | Calculate the Covariance of the Spectral Principal Component Scores
fsd.spca.filters | Calculate the Spectral Principal Components Filters Spatial Functional Data
fsd.spca.inverse | Reconstruct the original functional data from the filters and the score
fsd.spca.scores | Compute the Scores for Spatial Functional Data
fsd.spca.var | Calculate the Variance explained by Spectral Principal Components
fsd.spectral.density | Estimate the spectral density operator
fsd.z.plot | Plot functional data on a grid
Llist | a list containing the maximum lag for the filters for each variable.
mean.fsd.fd | Compute the mean of spatial functional data
mfsd | Perform Multivariate Spectral Principal Components Analysis on Spatial Functional Data.
mfsd.evaluation | Perform A Comparative Evaluation of Dimension Reduction: SMFPCA versus MFPCA in Multivariate Spatial Data Reconstruction
mfsd.nmse | Perform A Evaluation of Dimension Reduction Using NMSE and NMSE*
mfsd_Filter | Calculate the Multivariate Spectral Principal Components Filters Spatial Functional Data
mfsd_Scores | Compute the Multivariate Scores for Spatial Functional Data.
plot.fsd.fd | Plot functional spatial data
plot.fsd.filter | Plot functional spatial filters
plot.mfsd.fd | Plot method for mfsd.fd objects
qlist | a list containing tuning parameter for the estimation of the the spectral density of indian variable
summary.fsd.filter | Analyse functional spatial filters
summary.mfsd.filter | Analyse multivariate functional spatial filters
temp | Temperature Data in Wyoming
unfold | Unfold indices into a high-dimensional grid
X1999 | Spatial functional data of sea surface temperature (SST) data for the year 1999, derived from NOAA optimal sea surface temperature interpolation data.
X2000 | Spatial functional data of sea surface temperature (SST) data for the year 2000, derived from NOAA optimal sea surface temperature interpolation data.
X2001 | Spatial functional data of sea surface temperature (SST) data for the year 2001, derived from NOAA optimal sea surface temperature interpolation data.
[.fsd.fd | Subsetting a functional spatial data object