This is an R package that provide a way to analyze spatial-temporal data based on SSTL (Spatial Seasonal Trend decomposition using Loess) routine under the divide and recombined framework.
# from github devtools::install_github("XiaosuTong/drsstl")
The main function to call in the package is
drsstl function, which is a
wrapper function of
sstl_local two functions.
be used to carry out SSTL routine on the dataset either in the memory or
on the HDFS.
The function for prediction is
predNewLocs function, which is a wrapper
predNew_local two functions. Depends on where
the original fitting results are saved, the prediction at new locations
will be conducted either in local memory or on HDFS using MapReduce.
In the data subdirectory,
tmax.RData inlcudes a data.frame named
which can be used as example to illustrate the usage of
drsstl in local memory.
station_info.RData contains a data.frame which includes all stations information.
It is usefual for both local and mapreduce situation of
drsstl. User has to
station_info.RData to HDFS if the mapreduce is chosen.
In inst subdirectory, tmax.txt is the raw data file contains the maximum
temperature data. User can copy it to HDFS and conduct
drsstl under divide
and recombined framework.
drsstl development is depended on
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