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.

Expected results

  • 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.


  • Introduction
    – 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)

€ 600,00

DICAM, via terracini 28 – Bologna (Italy)

Min 7 for course activation
Max 15