Lecturer(s)


Gangur Mikuláš, Doc. RNDr. Ph.D.

Course content

1. Continuous, discontinuous variable in geographic practice 2. Causality of variables ,applications in regional geography 3. Theoretical distribution of variables; theory and practice 4. Basics of regression analysis, its modelling, real vs. theoretical values 5. Nonlinear regression models 6. Transformation of variables (for different types of regression models) 7. Multivariate linear regression 8. Multidimensional more complex techniques  introduction 9. Cluster analysis 10. Principle component analysis 11. Factor analysis 12. Canonical correspondence analysis  introduction, basic principles 13. Graphical presentation of the results of multivariate analysis

Learning activities and teaching methods

Elearning, Collaborative instruction, Individual study, Students' selfstudy, Textual studies, Lecture, Lecture with visual aids, Seminar
 Contact hours
 39 hours per semester
 Preparation for an examination (3060)
 45 hours per semester
 Graduate study programme term essay (4050)
 40 hours per semester
 Presentation preparation (report) (110)
 10 hours per semester

prerequisite 

professional knowledge 

Preconditions for successful graduation of the course contain basic knowledge of simple statistical techniques, abilities like an orientation in statistical data and their sources. The main ability is to correctly identify the studied problem and to choose useful data and a correct method necessary for effective solution. These abilities and skills including elementary graphical visualisation of statistical data will be required. 
learning outcomes 

Students are able:  to understand principles of processing and evaluating of multivariate statistical data,  to know in detail with techniques such as multivariate regression, cluster and factor analysis,  can analyze and evaluate data using statistical software. 
teaching methods 

Lecture 
Lecture with visual aids 
Seminar 
Elearning 
Textual studies 
Collaborative instruction 
Students' selfstudy 
Individual study 
assessment methods 

Oral exam 
Skills demonstration during seminar 
Seminar work 
Recommended literature


GODDARD, J., B. An introduction to factor analysis. 1976.

Halás, M., Klapka, P., Kladivo P. Distancedecay functions for daily traveltowork flows. 2014.

Kladivo, P., Ptáček, P., Roubínek, P., Ziener, K. CzechPolish and AustrianSlovenian borderland ? similarities and differences of development and typology of regions. 2012.

MCGREW, Ch., J., MONROE, Ch. An Introduction to Statistical Problem Solving in Geography. 1999.

ROGERSON, A., P. Statistical Methods For Geography: A Students Guide. 2006.
