6533b7d7fe1ef96bd12683b6
RESEARCH PRODUCT
Promoting mathematical skills using the instructive program Kriging
Juan Carlos Castro-palacioFernando Gimenez PalomaresJosé Quintín Cuador GilJuan Antonio Monsoriu Serrasubject
EstimationSpatial variablebusiness.industryGeostatisticsMachine learningcomputer.software_genreSoftwareKrigingMathematical skillEconometricsArtificial intelligencebusinessVariogramcomputerGeologyInterpolationdescription
Geostatistics was developed in mining for the grade estimation problems of ore deposits, nowadays; it is the most popular method for the interpolation and estimation problems. Methodological consideration about its interpolator, the Kriging, is presented in this paper. For geosciences engineering and other students in general is important to take in advance interpolation methods. This methodology is coming from natural phenomenon, where it is very difficult or even impossible to build deterministic models, only it is possible to describing the behavior from fragmented information of the problem studied. The characterization of the spatial variables using geostatistics has, in general, two main steep: the structural analysis to obtain semivariogram models and the estimation by Kriging. The solution of the problems using Kriging program allows to promoting mathematical skills in the students when they apply the methodology to classroom and real case studies and has to take decisions.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2011-05-01 | 2011 Promotion and Innovation with New Technologies in Engineering Education (FINTDI 2011) |