Geostatistics and numerical modelling of geological processes


Earth and environmental sciences (2nd level)

Paleobiology and sedimentary geology (2nd Cycle)

Course code: MIP03
Year of study: none

Course principal:
Assoc. Prof. Franci Gabrovšek, Ph. D.


Workload: lectures 30 hours, tutorial 40 hours, 4individual work 80 hours.
Course type: elective
Languages: Slovene, English
Learning and teaching methods: lectures, practical training.


Course syllabus (download)


First-cycle Bologna degree or a university degree in the natural sciences.


Content (Syllabus outline):

  • Statistical methods in geological sciences
  • Multivariate Methods
  • Analysis of the data in paleontology
    • Morphometry
    • Phylogenetic analysis
  • Time Series Analysis
  • Quantitative biostratigraphy
  • Modelling of geomorphological systems
  • Numerical modeling of sedimentary systems
  • Deterministic and stochastic stratigraphic models



Selected chapters from books and papers:

  • McKillup S, Darby Dyar M (2010) Geostatistics Explained. An Introductory Guide for Earth Scientists. Cambridge University Press.
  • Guex J, Galster F, Hammer Ø (2016) Discrete Biochronological Time Scales. Springer
  • Paola C (2000) Quantitative models of sedimentary basin filling. Sedimentology 47: 121-178.
  • Burgess PM, Wright VP (2003) Numerical forward modeling of carbonate platform dynamics: An evaluation of complexity and completeness in carbonate strata. Journal of Sedimentary Research 73: 637-652.
  • Hammer Ø, Harper DAT (2008) Paleontological Data Analysis. Wiley/Blackwell.


Objectives and competences:

The purpose of the course is to demonstrate the possibilities, advantages and particularities of statistical analysis and numerical modeling in the fields of paleontology, sedimentology, stratigraphy and geomorphology/Earth surface processes. Student will learn the proper sampling procedures, mathematical processing of numerical data and interpretation of results. He is able to use various computer programs and himself write simpler programs or macros. He is able to understand and utilize the literature, based on geostatistics and numerical modeling.


Intended learning outcomes:

Knowledge and understanding:

The student is aware of the importance of acquiring numerical data. He is able to select,  measure and use the appropriate variables in relation to the stated research problem. He is able to select and implement appropriate statistical or. numerical analysis with computer programs. He can use the results of the analyzes to interpret the geological and biological processes. He is familiar with up to date achievements in the use of geostatistics and numerical methods in the fields of geology.



Written or oral exam (70 %), coursework (30 %).