Course of Environmental Geostatistics
Form a specialized professional figure able to perform independently a geostatistical analysis of environmental data, interpretating the physical phenomenon to which they are related (pollution, meteorology, etc.) or predicting the future behaviour. The course includes the use of free and/or open source software for the practical session.
- Acquire the theoretical training needed to apply geostatistics methodologies to analysis and modeling of environmental data
- Management of geostatistic data processing and analysis, production of variographies, estimations and simulations of regionalized variables, calculation of their precision;
- Ability to design an optimal sampling.
– Type of problems and variables;
– Type of environmental data and their graphical representation;
– Basic data analysis, numerical description of the variables, main statistical parameters of a distribution, data transformation, graphical description of variables (histograms), scatterplot, correlation coefficient.
- Stationary Monovariate Geostatistics
– Concept of Random Variables, Regionalized Variables and Random Functions;
– The hypothesis of stationarity;
– Experimental variogram and its modeling;
– Estimation: neighborhood, reverse distance (ID, IDW), kriging and other estimators.
- Multivariate Geostatistics
– Multivariate analysis and cross-variograms;
– Cokriging and external drift.
- Notes on Geostatistical Simulations
– Gaussian Sequential Simulation;
– Direct Sequential Simulation.
- Case studies with environmental data
– Presentazione di analisi geostatistiche effettuate su dati ambientali;
– Introduction to the chosen case study for the group to analyze.
- Practical session with the software
– Overview of available geostatistical software: licensed, free and open source;
– Case study. Data analysis, variogram modeling, estimation with calculation of its error.
The teaching plan can be adapted to the needs of the group, focusing on a specific topic if necessary.
PhD Sara Focaccia (SERENGEO)
Prof. Stefano Bonduà (UNIBO)
Duration and mode
20 hours of classes
Laptop needed (even in groups)
DICAM, via terracini 28 – Bologna (Italy)
Min 7 for course activation