Title of course: Geostatitics
Code: TTGMG7040_EN
ECTS Credit points: 2
Type of teaching, contact hours
- lecture: 1 hours/week
- practice: 1 hours/week
- laboratory: -
Evaluation: exam
Workload (estimated), divided into contact hours:
- lecture: 14 hours
- practice: 14 hours
- laboratory: -
- home assignment: -
- preparation for the exam: 16 hours
Total: 30 hours
Year, semester: 2nd year, 3 rd semester
Its prerequisite(s): -
Further courses built on it: -
Topics of course
The aim of the course is to introduce students to the various mathematical and statistical methods used in the field of earth sciences. These methods of analysis and evaluation provide the basis for various spatial interpolation techniques closely related to other disciplines. Interpolation methods can be used to create a continuous data surface, to estimate the value of a given property in areas where no sampling has been done, and thus to calculate the value of points that are not directly measured (e.g. soil property, elevation or other parameters). The course will cover the following topics: spatial data analysis, sampling method selection, simple systematic sampling; exploratory data analysis, outlier analysis, box-plot visualization, frequency histogram analysis, normality analysis, data transformation procedures; introduction to spatial interpolation procedures, their classification and application in earth sciences; Deterministic interpolation methods, introduction to IDW, Spline, Natural Neighbor, Nearest Neighbor, Radial Basis Function interpolation; stochastic interpolation methods, introduction to kriging, stochastic simulation; basic requirements of kriging, stationarity, autocorrelation, detrending; grouping of kriging: simple, conventional, indicator, universal, lognormal, cocorrelation, regression kriging; stochastic simulation methods, presentation and classification, stochastic Gaussian simulation, stochastic indicator simulation; variogram analysis, special properties of semivariogram, anisotropy, trend in semivariogram analysis; grouping and characteristics of variogram models, determination of effect distance, threshold level, cluster effect, stochastic, structural factors; determination and characterization of uncertainty in estimated interpolated maps; kriging, practical application of simulation in geoinformatics.
Literature
- Chilés, J-P, DElfiner, P. 2012. Geostatistics: Modeling Spatial Uncertainty, Wiley ISBN: 978-0-470-18315-1
- Heingl, T.2009. A Practical Guide to Geostatistical Mapping, ISBN 978-90-9024981-0 http://spatial-analyst.net/book/system/files/Hengl_2009_GEOSTATe2c1w.pdf
Requirements:
- for a signature
Attendance at lectures is recommended, but not compulsory.
- for a grade
The course ends in a writing examination. The minimum requirement for the test respectively is 50%. Based on the score of the test, the grade for the test is given according to the following table:
| Score | Grade |
| 0-49 fail | (1) |
| 50-64 pass | (2) |
| 65-74 satisfactory | (3) |
| 75-85 good | (4) |
| 86-100 excellent | (5) |
If the score of any test is below 50, students can take a retake test in conformity with the EDUCATION AND EXAMINATION RULES AND REGULATIONS.
Person responsible for course: Dr. István Lázár, PhD, Assistant Professor