Infopaket

Geostatistics

ВБ 1.02

Вибіркова дисципліна для ОП

Second

2023/2024

3 Semester

4

Know the methods of collecting and structuring information for scientific research in the field of geoinformatics, photogrammetry and DZ, methods of processing digital images in the environments of special packages, programs and GIS. Use geostatistical data and mathematical modeling to process geodetic and geological studies. Process the results of geodetic measurements, topographic and cadastral surveys, using geoinformation technologies and computer software database management tools and systems.

Full-time form

1. Successful completion of the courses "Linear Algebra", "Theory of Probability and Mathematical Statistics" (or others similar in content). 2. Successful completion of the courses "Geoinformatics", "Geoinformation systems in Earth sciences" (or others similar in content). 3. Knowledge of GIS and high-level programming languages (Python, Delphi, VB, etc.), and/or computer mathematics systems (Matlab, SciLab, Mathematica, Octave, etc.). 4. Understanding the current problems of the geological field.

Statistical methods of geospatial data analysis are considered as part of the academic discipline. The discipline is divided into three thematic blocks. In the first, the differences in the analysis of geospatial data and data without a coordinate component are considered from the point of view of general issues of probability theory and mathematical statistics. In the second, special attention is paid to the issue of obtaining correct statistical estimates and parameters of the distribution of the values of the indicators characterizing numerical geological and geophysical information and which are coordinate dependent. The third block covers issues of interpolation of two-dimensional data. Special attention is paid to the analysis of the spatial structure of data and the selection of optimal models of spatial dependence between data. Students acquire theoretical knowledge, practical skills and abilities necessary for: objective statement of the problem, statistical analysis of input data and their preliminary processing, analysis of the spatial structure of data and construction of optimal interpolation models.

1. Christakos G. Modern Spatiotemporal Geostatistics. Oxford Univ. Press, 2000. 2. Clark, H.W. Practical Geostatistics 2000, 2004. 3. Michael L. Stein. Interpolation of Spatial Data: Some Theory for Kriging. Springer, 1999. 4. Introduction to the ArcGIS Geostatistical Analyst: Tutorial (url:http://desktop.arcgis.com/en/arcmap/latest/extensions/geostatistical-analyst/introductionto-the-arcgis-geostatistical-analyst-tutorial.htm) 5. Геоінформаційний аналіз і прикладна геостатистика. Навчально-методичний посібник / С. Кохан., В. Гавришенко. 2013.

Lectures, practical classes, consultations, independent work

The control involves carrying out 3 modular control works and performing practical works. The final assessment is carried out in the form of quality control of the program implementation of the proposed examination tasks (4 tasks of 10 points each). The results of students' educational activities are evaluated on a 100-point scale. A student is not allowed to take the exam if he scored less than 36 points during the semester. 1 The credit score cannot be less than 24 points to obtain an overall positive grade for the course.

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