|
Lecturer(s)
|
-
Gašpařík Adam, doc. RNDr. Ph.D.
-
Dongresová Eva, Ing. Ph.D.
|
|
Course content
|
Data collection, data quality verification and preparation. Use of correlation analysis in geographical research. Simple linear regression in geographical research. Principle component analysis Factor analysis Multivariate linear regression Analysis of time series of regional geographical data. Multidimensional more complex techniques - introduction Cluster analysis
|
|
Learning activities and teaching methods
|
E-learning, Collaborative instruction, Individual study, Students' self-study, Textual studies, Lecture, Lecture with visual aids, Seminar
- Contact hours
- 39 hours per semester
- Preparation for an examination (30-60)
- 45 hours per semester
- Graduate study programme term essay (40-50)
- 40 hours per semester
- Presentation preparation (report) (1-10)
- 10 hours per semester
|
| prerequisite |
|---|
| Knowledge |
|---|
| explain simple statistical techniques. |
| use statistical data and their sources. |
| explain the studied problem and to apply correct method necessary for effective solution to useful data. |
| make graphical visualisation of statistical data. |
| Skills |
|---|
| Use MS Excel |
| Apply high school mathematics and calculus |
| Competences |
|---|
| N/A |
| learning outcomes |
|---|
| Knowledge |
|---|
| explain principles of processing and evaluating of multivariate statistical data |
| apply techniques such as multivariate regression, cluster and factor analysis. |
| use statistical software for analyzing and evaluating data. |
| Skills |
|---|
| apply learned algorithms for tasks solution |
| analyse data by means of multivariable analyses methods |
| use statistical software |
| Competences |
|---|
| N/A |
| teaching methods |
|---|
| Knowledge |
|---|
| Lecture |
| Lecture with visual aids |
| Seminar |
| E-learning |
| Textual studies |
| Collaborative instruction |
| Self-study of literature |
| Individual study |
| Skills |
|---|
| Interactive lecture |
| E-learning |
| Self-study of literature |
| Task-based study method |
| Competences |
|---|
| N/A |
| assessment methods |
|---|
| Knowledge |
|---|
| Oral exam |
| Skills demonstration during practicum |
| Seminar work |
| Skills |
|---|
| Practical exam |
| Test |
| Seminar work |
| Competences |
|---|
| Practical exam |
| Seminar work |
|
Recommended literature
|
-
Bluman, Allan G. Elementary statistics : a step by step approach. Tenth edition. 2018. ISBN 978-1-259-92201-5.
-
Brázdil R. a kol. Statistické metody v geografii. Brno, 1995.
-
GODDARD, J., B. An introduction to factor analysis. 1976.
-
Halás, M., Klapka, P., Kladivo P. Distance-decay functions for daily travel-to-work flows. 2014.
-
Hebák, Petr a kol. Statistické myšlení a nástroje analýzy dat. 2. vydání.. Praha: Informatorium, 2015. ISBN 978-80-7333-118-4.
-
HENDL, Jan. Přehled statistických metod: analýza a metaanalýza dat. Páté, rozšířené vydání.. Praha: Portál, 2015. ISBN 978-80-262-0981-2.
-
Hindls, Richard. Statistika pro ekonomy. 8. vyd. Praha : Professional Publishing, 2007. ISBN 978-80-86946-43-6.
-
Hossein Pishro-Nik. Introduction to Probability, Statistics, and Random Processes. Kappa Research, 2014. ISBN 978-0-9906372-0-2.
-
Kateřina Mičudová, Mikuláš Gangur, Milan Svoboda, Pavla Říhová. Základy statistiky a pravděpodobnosti. Západočeská univerzita v Plzni, 2016. ISBN 978-80-261-0660-9.
-
Kladivo, P., Ptáček, P., Roubínek, P., Ziener, K. Czech-Polish and Austrian-Slovenian borderland ? similarities and differences of development and typology of regions. 2012.
-
Marek, Luboš. Statistika pro ekonomy : aplikace. 2. vyd. Praha : Professional Publishing, 2007. ISBN 978-80-86946-40-5.
-
MCGREW, Ch., J., MONROE, Ch. An Introduction to Statistical Problem Solving in Geography. 1999.
-
Pavlík, Zdeněk; Kühnl, Karel. Úvod do kvantitativních metod pro geografy : Určeno pro posl. fak. přírodověd.. Praha : SPN, 1985.
-
ROGERSON, A., P. Statistical Methods For Geography: A Students Guide. 2006.
|