Keywords

GEOframe, Kriging, OMS, NewAGE, Replicability of research

Start Date

28-6-2018 9:00 AM

End Date

28-6-2018 10:20 AM

Abstract

This study presents a package that implements Kriging techniques for the interpolation of any climatological variables, such as temperature and precipitation.

The purposes of the study are to present a geostatistical software easy to use and to plug-in into the hydrological model JGrass-NewAGE and to show a practical example of an accurately designed software, in the perspective of reproducible research.

Ten theoretical semivariogram models and four Kriging algorithms were implemented and gathered into an OMS components. The package provides real time optimization for semivariogram and Kriging parameters.

The software was tested against temperature and rainfall data from 97 meteorological stations located in the Isarco River basin, Italy. For both variables, very good interpolation results were obtained and then compared with the results obtained using the R package, gstat.

Several characteristics make the package a good competitor among the other tools available in literature, since:

– it can be used as a stand-alone;

– it can plugged-in the hydrological modelling system JGrass-NewAge;

– it can be used with all the OMS compliant components, such as the calibration tools for the optimization of the parameters;

– it is included a tool for the automatic estimation of errors;

– results are presented in data formats directly visualized by GIS;

– it is faster than gstat in every-day use routine.

From the programmer perspective the implementation of Java design patterns makes the package easily maintainable and suitable for future improvements, such as the possibility of integrating new types of Kriging.

Stream and Session

F4: Replicability and Reproducibility in Research: From Vaporware to Software in Environmental Computing

COinS
 
Jun 28th, 9:00 AM Jun 28th, 10:20 AM

A well engineered implementation of Kriging tools in the Object Modelling Sisytem v.3.

This study presents a package that implements Kriging techniques for the interpolation of any climatological variables, such as temperature and precipitation.

The purposes of the study are to present a geostatistical software easy to use and to plug-in into the hydrological model JGrass-NewAGE and to show a practical example of an accurately designed software, in the perspective of reproducible research.

Ten theoretical semivariogram models and four Kriging algorithms were implemented and gathered into an OMS components. The package provides real time optimization for semivariogram and Kriging parameters.

The software was tested against temperature and rainfall data from 97 meteorological stations located in the Isarco River basin, Italy. For both variables, very good interpolation results were obtained and then compared with the results obtained using the R package, gstat.

Several characteristics make the package a good competitor among the other tools available in literature, since:

– it can be used as a stand-alone;

– it can plugged-in the hydrological modelling system JGrass-NewAge;

– it can be used with all the OMS compliant components, such as the calibration tools for the optimization of the parameters;

– it is included a tool for the automatic estimation of errors;

– results are presented in data formats directly visualized by GIS;

– it is faster than gstat in every-day use routine.

From the programmer perspective the implementation of Java design patterns makes the package easily maintainable and suitable for future improvements, such as the possibility of integrating new types of Kriging.