sparfit: Apply the spatial loess fitting on the remainder at all...

In XiaosuTong/drSpaceTime: Spatial Seasonal Trend Loess analysis routine using divide and recombined

Description

Call spaloess function on the spatial domain at each time point in parallel. Every spatial domain uses the same smoothing parameters

Usage

sparfit(input, output, info, model_control = spacetime.control(),
  cluster_control = mapreduce.control())

Arguments

input	The path of input file on HDFS. It should be by-month division with temporal fitting results.
output	The path of output file on HDFS. It is by-month division but with added spatial fitted value for remainder, named Rspa.
info	The RData path on HDFS which contains all station metadata
model_control	Should be a list object generated from spacetime.control function. The list including all necessary smoothing parameters of nonparametric fitting.
cluster_control	Should be a list object generated from mapreduce.control function. The list including all necessary Rhipe parameters and also user tunable MapReduce parameters.

Author(s)

Xiaosu Tong

Examples

## Not run: 
    FileInput <- "/tmp/bymthse"
    FileOutput <- "/tmp/bymthfitse"
    ccontrol <- mapreduce.control(libLoc=NULL, reduceTask=0, BLK=128)
    mcontrol <- spacetime.control(
      vari="remainder", time="date", n=786432, n.p=12,
      s.window=13, t.window = 241, degree=2, span=0.015, Edeg=2
    )

    sparfit(
      FileInput, FileOutput, info="/tmp/station_info.RData",
      model_control=mcontrol, cluster_control=ccontrol
    )

## End(Not run)

XiaosuTong/drSpaceTime documentation built on May 9, 2019, 11:06 p.m.