548-0092/01 – Interpretation of geodata (IGD)

Gurantor departmentDepartment of GeoinformaticsCredits3
Subject guarantordoc. Ing. Igor Ivan, Ph.D.Subject version guarantordoc. Ing. Igor Ivan, Ph.D.
Study levelundergraduate or graduate
Study languageCzech
Year of introduction2015/2016Year of cancellation
Intended for the facultiesHGFIntended for study typesBachelor
Instruction secured by
LoginNameTuitorTeacher giving lectures
CAH0021 Mgr. Jan Caha, Ph.D.
IVA026 doc. Ing. Igor Ivan, Ph.D.
Extent of instruction for forms of study
Form of studyWay of compl.Extent
Full-time Graded credit 0+2
Combined Graded credit 0+6

Subject aims expressed by acquired skills and competences

- Student demonstrates knowledge: • basics of working with the program R • selected statistical methods - Students can: • edit the data matrix • apply selected statistical methods • reduce the size of the input data matrix - Student is able to: • interpret the results • extract the maximum information from the supplied data and geodata

Teaching methods

Tutorials

Summary

This course is focused on a practical work with data, its pre-processing, formatting and transformations. Practical introduction of basic statistical methods of data dimensions reduction and other multivariate methods such as factor, discriminant and cluster analysis and decision trees. Also basic principles of data mining are introduced. The aspect of results interpretation and maximal mining of information from data and geodata are key aspects of this course.

Compulsory literature:

ZUUR, A. F., IENO, E. N., MEESTERS, E. (2009): A Beginner's Guide to R. Springer, 236 p. DALGAARD, P. (2008): Introductory Statistics with R. Springer, 380 p. EVERITT, B., HOTHORN, T. (2011): An Introduction to Applied Multivariate Analysis with R. Springer, 288 p.

Recommended literature:

SPECTOR, P. (2008): Data Manipulation with R. Springer, 164 p. FLOWERDEW, R., MARTIN, D. (eds.) (2005): Methods in Human Geography: A Guide for Students Doing a Research Project. Prentice Hall, 392 p.

Way of continuous check of knowledge in the course of semester

E-learning

Další požadavky na studenta

No other requirements are defined.

Prerequisities

Subject has no prerequisities.

Co-requisities

Subject has no co-requisities.

Subject syllabus:

1) Methods of pre-processing of data and geodata for further processing 2) Errors in data and geodata and dealing with errors 3) Basics in R 4) R and geodata 5) Principal component analysis and interpretation of results 6) Factor analysis and interpretation of results 7) Discriminant analysis and interpretation of results 8) Cluster analysis and interpretation of results 9) Decision trees and interpretation of results 10)Basics of data mining

Conditions for subject completion

Full-time form (validity from: 2015/2016 Winter semester)
Task nameType of taskMax. number of points
(act. for subtasks)
Min. number of points
Graded credit Graded credit 100  51
Mandatory attendence parzicipation:

Show history
Combined form (validity from: 2015/2016 Winter semester)
Task nameType of taskMax. number of points
(act. for subtasks)
Min. number of points
Graded credit Graded credit 100  51
Mandatory attendence parzicipation:

Show history

Occurrence in study plans

Academic yearProgrammeField of studySpec.FormStudy language Tut. centreYearWSType of duty
2019/2020 (B1316) Geodesy, Cartography and Geoinformatics (3646R006) Geoinformatics P Czech Ostrava 2 Compulsory study plan
2019/2020 (B1316) Geodesy, Cartography and Geoinformatics (3646R006) Geoinformatics K Czech Ostrava 2 Compulsory study plan
2018/2019 (B1316) Geodesy, Cartography and Geoinformatics (3646R006) Geoinformatics K Czech Ostrava 2 Compulsory study plan
2018/2019 (B1316) Geodesy, Cartography and Geoinformatics (3646R006) Geoinformatics P Czech Ostrava 2 Compulsory study plan
2017/2018 (B1316) Geodesy, Cartography and Geoinformatics (3646R006) Geoinformatics P Czech Ostrava 2 Compulsory study plan
2017/2018 (B1316) Geodesy, Cartography and Geoinformatics (3646R006) Geoinformatics K Czech Ostrava 2 Compulsory study plan
2016/2017 (B1316) Geodesy, Cartography and Geoinformatics (3646R006) Geoinformatics K Czech Ostrava 2 Compulsory study plan
2016/2017 (B1316) Geodesy, Cartography and Geoinformatics (3646R006) Geoinformatics P Czech Ostrava 2 Compulsory study plan
2015/2016 (B1316) Geodesy, Cartography and Geoinformatics (3646R006) Geoinformatics P Czech Ostrava 2 Compulsory study plan
2015/2016 (B1316) Geodesy, Cartography and Geoinformatics (3646R006) Geoinformatics K Czech Ostrava 2 Compulsory study plan

Occurrence in special blocks

Block nameAcademic yearForm of studyStudy language YearWSType of blockBlock owner