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code/data  Description 
Data sets  This zip bundle contains dataset directories, which collect various geophysical data collections 
Kriging 
This script (written in R) imports a data set:
(1)the geosensor network (for each geosensor, the identifier and its 2D spatial coordinate)
and (2) the spatiotemporal data matrix
(i.e. a data matrix with Z(T,G) corresponding to the datum observed at time T
from geosensor G).
It computes the Ordinary Kriging interpolation models on the kfold CV of the selected data set.
It outputs the computed accuracy results.

STKriging 
This script (written in R) imports a data set.
It computes the STKriging interpolation models based on the kfold CV of the data set.
It outputs the computed accuracy results.

CoSTK 
This script (written in R) imports a data set.
It computes the CoSTK interpolation models based on the kfold CV of the data set.
It uses the window model and considers the top ranked Principal Component computed over the windowed data raws as the secondary covariable.
It outputs the computed accuracy results.

CoKriging 
This script (written in R) imports a data set.
It computes the CoKriging interpolation models based on the kfold CV of the data set.
It uses the window model and considers one secondary covariable for each windowed data raw.
It outputs the computed accuracy results.

CoSTK90 
This script (written in R) imports a data set.
It computes the CoSTK interpolation models based on the kfold CV of the data set.
It uses the window model and considers Principal Components explaining the 90% of variability in windowed data raws as secondary covariables.
It outputs the computed accuracy results.

ReadMe 

Kriging 
This script (written in R) imports a data set:
(1)the geosensor network (for each geosensor, the identifier and its 2D spatial coordinate)
and (2) the spatiotemporal data matrix
(i.e. a data matrix with Z(T,G) corresponding to the datum observed at time T
from geosensor G).
It computes the Ordinary Kriging interpoaltion models on the entire selected data set.
It outputs the computation times.

STKriging 
This script (written in R) imports a data set.
It computes the STKriging interpolation model of the entire data set.
It outputs the computation times.

CoSTK 
This script (written in R) imports a data set.
It computes the CoSTK interpolation models of the entire data set.
It uses the window model and considers the top ranked Principal Component computed over the windowed data raws as the secondary covariable.
It outputs the computation times.

CoKriging 
This script (written in R) imports a data set.
It computes the CoKriging interpolation models of the entire data set.
It uses the window model and considers one secondary covariable for each windowed data raw.
It outputs the computation times.

CoSTK90 
This script (written in R) imports a data set.
It computes the CoSTK interpolation models of the entire data set.
It uses the window model and considers Principal Components explaining the 90% of variability in windowed data raws as secondary covariables.
It outputs the computation times.

ReadMe 

Sonja Pravilovic  sonja.pravilovic@unimediteran.net, sonja.pravilovic@uniba.it 
Annalisa Appice  annalisa.appice@uniba.it 