PřF:Z0069 Statistical methods - Course Information
Z0069 Geographical Data Analysis
Faculty of ScienceAutumn 2008
- Extent and Intensity
- 2/2/0. 6 credit(s). Type of Completion: graded credit.
- Teacher(s)
- prof. RNDr. Petr Dobrovolný, CSc. (lecturer)
Ing. Mgr. Marie Doleželová, Ph.D. (seminar tutor)
Mgr. Jan Hercík, Ph.D. (seminar tutor)
Mgr. Michal Janota (seminar tutor)
Mgr. Lucie Kašičková (seminar tutor)
Mgr. Ondřej Konečný, Ph.D. (seminar tutor)
Mgr. David Michalec (seminar tutor)
Mgr. Ing. Iveta Pagáčová (seminar tutor)
Mgr. Petr Šimáček, Ph.D. (seminar tutor)
Mgr. Lukáš Zvěřina (seminar tutor) - Guaranteed by
- prof. RNDr. Rudolf Brázdil, DrSc.
Department of Geography – Earth Sciences Section – Faculty of Science
Contact Person: prof. RNDr. Petr Dobrovolný, CSc. - Timetable
- Tue 15:00–16:50 A,01026
- Timetable of Seminar Groups:
Z0069/02: Tue 7:00–8:50 Z1,01001b, L. Zvěřina
Z0069/03: Mon 10:00–11:50 Z1,01001b, J. Hercík, I. Pagáčová, P. Šimáček
Z0069/04: Mon 14:00–15:50 Z1,01001b, D. Michalec
Z0069/05: Mon 12:00–13:50 Z1,01001b, J. Hercík, I. Pagáčová, P. Šimáček
Z0069/06: Thu 11:00–12:50 Z1,01001b, M. Doleželová
Z0069/07: Wed 13:00–14:50 Z1,01001b, L. Kašičková
Z0069/08: Tue 12:00–13:50 Z1,01001b, J. Hercík, I. Pagáčová, P. Šimáček
Z0069/09: Wed 7:00–8:50 Z1,01001b, O. Konečný - Course Enrolment Limitations
- The course is only offered to the students of the study fields the course is directly associated with.
The capacity limit for the course is 186 student(s).
Current registration and enrolment status: enrolled: 0/186, only registered: 0/186 - fields of study / plans the course is directly associated with
- there are 17 fields of study the course is directly associated with, display
- Course objectives
- At the end of this course, students should be able to understand and be able to practically use the followqing statistical methods: Descriptive statistics. Graphical descriptions of geographical data. Frequency distribution. Numerical descriptive measures. Probability, sampling distributions. Estimation of population parameters. Tests of hypothesis. Analysis of Variance. Analysis of bivariate data, correlation analysis. Regression analysis, simple linear regression, multiple regression. Contingency tables. Time series analysis in Geogrpahy, time series components, trend analysis, smoothing. Introduction to multivariate statistics.
- Syllabus
- Exercises: (basic skill in MS EXEL expected, STATISTICA is used in most of exercises - see the 1st exercise) 1. Intro to STATISTICA 2. Frequency tables, graphical presentation of frequency distribution 3. Descritive statistics 4. Theorethical distribution, testing of normailty 5. Parameters estimation and construction of Pearson's curve 6. Point and interval estimates 7. Hypothesis testing, application of F-test and t-test 8. Nonparametric testing, Mann–Whitney U-test 9. Analysis of Variance (ANOVA) 10. Correlation, interpretation of correlation coefficient 11. Regression analysis, linear regression model 12. Time series analysis, trend analysis, smoothing of time series
- Literature
- ROGERSON, Peter. Statistical methods for geography : a student guide. 2nd ed. London: SAGE Publications, 2006, xvi, 304. ISBN 1412907969. info
- FOTHERINGHAM, A. Stewart, Chris BRUNSDON and Martin CHARLTON. Quantitative geography : perspectives on spatial data analysis. London: SAGE Publications, 2000, xii, 270. ISBN 0761959483. info
- BRÁZDIL, Rudolf. Statistické metody v geografii : cvičení. 3. vyd. Brno: Vydavatelství Masarykovy univerzity, 1995, 177 s. ISBN 8021012609. info
- HENDL, Jan. Přehled statistických metod zpracování dat :analýza a metaanalýza dat. Vyd. 1. Praha: Portál, 2004, 583 s. ISBN 8071788201. info
- BUDÍKOVÁ, Marie. Statistika. 1. vyd. Brno: Masarykova univerzita v Brně, 2004, 186 s. ISBN 8021034114. info
- Assessment methods
- Two written test, the first one practical with the use of computer. Elaboration of all practical excercises is the necessary conditon to pass the exam.
- Language of instruction
- Czech
- Further comments (probably available only in Czech)
- The course is taught annually.
- Enrolment Statistics (Autumn 2008, recent)
- Permalink: https://is.muni.cz/course/sci/autumn2008/Z0069