Empirical Orthogonal Teleconnections in R

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Documentation for package ‘remote’ version 1.2.1

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remote-package R EMpirical Orthogonal TEleconnections
anomalize Create an anomaly RasterStack
australiaGPCP Monthly GPCP precipitation data for Australia
calcVar Calculate space-time variance of a RasterStack or RasterBrick
covWeight Create a weighted covariance matrix
cutStack Shorten a RasterStack
deg2rad Convert degrees to radians
denoise Noise filtering through principal components
deseason Create seasonal anomalies
deseason-method Create seasonal anomalies
eot EOT analysis of a predictor and (optionally) a response RasterStack
eot-method EOT analysis of a predictor and (optionally) a response RasterStack
EotCycle Calculate a single EOT
EotMode-class Class EotMode
EotStack-class Class EotStack
geoWeight Geographic weighting
getWeights Calculate weights from latitude
lagalize Create lagged RasterStacks
longtermMeans Calculate long-term means from a 'RasterStack'
names Names of Eot* objects
names-method Names of Eot* objects
names<- Names of Eot* objects
names<--method Names of Eot* objects
nmodes Number of modes of an EotStack
nmodes-method Number of modes of an EotStack
nXplain Number of EOTs needed for variance explanation
nXplain-method Number of EOTs needed for variance explanation
pacificSST Monthly SSTs for the tropical Pacific Ocean
plot Plot an Eot* object
plot-method Plot an Eot* object
predict EOT based spatial prediction
predict-method EOT based spatial prediction
remote R EMpirical Orthogonal TEleconnections
subset Subset modes in EotStacks
subset-method Subset modes in EotStacks
vdendool Mean seasonal (DJF) 700 mb geopotential heights
writeEot Write Eot* objects to disk
writeEot-method Write Eot* objects to disk
[[-method Subset modes in EotStacks