Geostatística e Tratamento de Dados

The aim of this course is to provide students with tools for data analysis and processing, including univariate, bivariate, and multivariate analysis, geostatistics, spatial analysis, and kriging estimation, applied to the field of Earth Sciences. In terms of general skills, students will be able to integrate with teams that undertake studies involving data analysis and processing, such as analytical determinations to evaluate the quality of soils and groundwater, and geostatistical modeling studies, including variography and kriging estimation.

Some more specific competencies include:
- For a specific data set, being able to perform preliminary statistical analysis based on the available variables.
- Selecting the most appropriate data analysis methods for each situation (univariate, bivariate, or multivariate analysis).
- Analyzing the results obtained by one or more methods and relating them to each other in a descriptive perspective of the case study.
- Calculating variograms for a georeferenced data set, researching geometric and zonal anisotropies, and adjusting theoretical variogram models. Relating the results obtained with the representativeness of the sampling.
- Creating prediction maps for a specific variable, and criticizing the results and limitations. Interpreting estimation errors and result validity.