ConstructMPst: Construct Spatio - temporal regular data.
In STMedianPolish: Spatio-Temporal Median Polish

Description Usage Arguments Details Value References Examples

Create an spatio - temporal object with regular data, in order to employ median polish technique.

1	ConstructMPst(valuest,time,pts,Delta)

`valuest`	data.frame in which different columns refer to different locations, and each row reflects a particular observation time.
`time`	indicate the time of valuest, the intervals of time must be regular.
`pts`	data.frame that hold three dimensions spatial coordinates `x`, `y` and `z`. Therefore, the coordinates should be projected.
`Delta`	vector with number of divisions of each spatial direction. c(Delta `x`, Delta `y`, Delta `z`).

This function configures an irregular distribution of spatio – temporal data in four - ways. Therefore, the new data corresponds to the average of values and coordinates of every spatio -temporal cell.

An object of class ConstructMPst with the following list of components:

`results`	average value on the stations set into unity spatio – temporal defined for delta.
`Value`	array with the results organized by cells, the size of the cells is defined in Delta.
`valuest`	valuest.
`pts`	pts.
`time`	time.
`Delta`	Delta.

Martínez, W. A., Melo, C. E., & Melo, O. O. (2017). Median Polish Kriging for space–time analysis of precipitation Spatial Statistics, 19, 1-20. [link]

Berke, O. (2001). Modified median polish kriging and its application to the wolfcamp - aquifer data. Environmetrics, 12(8):731-748.[link]

## Not run:
library(zoo)
data(Metadb)
#records of monthly precipitation from january 2007 to january 2010
Metadb<-Metadb[,c(1:4,89:125)]
x<-matrix(0,1,37)
for(i in 1:37){
 x[,i] <- 2007 + (seq(0, 36)/12)[i]
}
x<-as.Date (as.yearmon(x), frac = 1)
time = as.POSIXct(x, tz = "GMT")
MPST<-ConstructMPst(Metadb[,-c(1:4)],time,pts=Metadb[,2:4],Delta=c(7,6,5))
## End(Not run)