getTidBKMean: Batch Block Kriging for Estimate of Regional Means

In sptemExp: Constrained Spatiotemporal Mixed Models for Exposure Estimation

Description

A batch program to implement block Kriging for estimate of regional mean for air pollutant. Support the multi-core parallel computation.

Usage

getTidBKMean(spt,rlayer,regF="NAME_3",tarF="pre_mf",n=1)

Arguments

spt	Spatial point layer (shape file) corresponding to the grid spointspre
rlayer	Regional layer to crop the points for estimate of regional means regionlayer
regF	Regiona field name regionName
tarF	the target variable to be estimated tarVar
n	Core number of CPU for parallel support ncore

Value

The spatial polygon dataframe including the field of kriged means.

Author(s)

Lianfa Li [e-mail]

Examples

# PM2.5 example.

data("spointspre","countylayer")
regionName="NAME_3"
tarF="d91" # field target name to be estimated (2014-04-01 for 91 day of 2014)
bkRes=getTidBKMean(spointspre,countylayer,regionName,tarF="d91",n=2)

sptemExp documentation built on July 7, 2019, 9:02 a.m.