Man pages for XiaosuTong/drSpaceTime
Spatial Seasonal Trend Loess analysis routine using divide and recombined

drsstlApply sstl routine to spatial-temporal dataset
mapreduce.controlSet mapreduce parameter for drsstl fitting
predNew_localPrediction at new locations based on the fitting results in...
predNewLocsPrediction at new locations based on the fitting results of...
predNew_mrPrediction at new locations based on the fitting results on...
readInReadin Raw text data files and save it as by time division on...
spacetime.controlSet smoothing parameters for the drsstl fitting
spaofitApply the spatial loess fitting to the original observations...
sparfitApply the spatial loess fitting on the remainder at all...
sstl_localApply sstl routine to a data.frame of spatial-temporal...
sstl_local_drApply sstl routine to a data.frame of spatial-temporal...
sstl_mrApply sstl routine to dataset saved on HDFS
station_infoMetadata of Stations
stlfitApply the stlplus fitting at each location in parallel
swaptoLocSwap to division by-location
swaptoTimeSwap to division by-month from by-location division
tmax_allUS Maximum Temperature
XiaosuTong/drSpaceTime documentation built on June 3, 2017, 9:48 a.m.