getPolyMMean: Generation of Regional Monthly Mean Based on the Input...

In lspatial/sptemUS: Constrained Spatiotemporal Mixed-Effect Models for Exposure Estimation of Air Pollutants

Description

Generate the regional monthly mean of air pollutant concentrations based on the input polygons

Usage

getPolyMMean(polys,samp,tse,idF="siteid",ridF="rid",obsF="obs",dateF="date")

Arguments

polys	The input region polygon map object (SpatialPolygonsDataFrame) to be used the regions for generation of the regiona monthly means
samp	The sample spatial location map. Data format: SpatialPointDataFrame
tse	Time series for the siteid and date used for generation of monthly mean.
idF	location id name
ridF	region id name
obsF	observed value field name.
dateF	Date name

Value

A data frame of data format: rid, year, month, mean

Author(s)

Lianfa Li [e-mail]

Examples

#Use the PM2.5 concentration as an example.

data("samplepnt","prnside","shdSeries2014")
tpolys=tpolygonsByBorder(samplepnt,prnside)$tpolys
regionmmean=getPolyMMean(tpolys, samplepnt, shdSeries2014,"siteid", "rid", "obs","date")

lspatial/sptemUS documentation built on May 29, 2019, 3:42 a.m.