Z0069 Geographical Data Analysis

Faculty of Science
Autumn 2011
Extent and Intensity
2/2. 6 credit(s). Type of Completion: graded credit.
Teacher(s)
prof. RNDr. Petr Dobrovolný, CSc. (lecturer)
Mgr. Miroslav Boček (seminar tutor)
Mgr. Kateřina Nedvědová (seminar tutor)
Mgr. Petra Palasová (seminar tutor)
Mgr. Jan Procházka (seminar tutor)
Mgr. Jan Vachuda, Ph.D. (seminar tutor)
Mgr. Bc. Denisa Witoszová (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
Thu 12:00–13:50 A,01026
  • Timetable of Seminar Groups:
Z0069/01: Thu 9:00–10:50 Z1,01001b, P. Palasová
Z0069/02: Wed 7:00–8:50 Z1,01001b, K. Nedvědová
Z0069/03: Thu 16:00–17:50 Z1,01001b, J. Vachuda
Z0069/04: Tue 9:00–10:50 Z1,01001b, J. Procházka
Z0069/05: Wed 12:00–13:50 Z1,01001b, D. Witoszová
Z0069/06: Mon 8:00–9:50 Z1,01001b, M. Boček
Z0069/07: Thu 9:00–10:50 Z1,01001b, P. Palasová
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 160 student(s).
Current registration and enrolment status: enrolled: 0/160, only registered: 0/160
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
The main aim of this course is to provide students an overview on an practical use of basic statistical methods. At the end of the course student should be able to understand basic statistical methods explained in individual lectures. He/she would be able to explain when to apply individual methods and make reasoned decisions about preconditions that are necessary for proper utilization of methods in question. He/she would be able to work with information on data preparation, make deductions based on acquired knowledge concerning statistical methods and properly interpret results
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
Teaching methods
Lectures explaining basic terms and presenting individual examples step by step. Practical training based on 11 exercises that are solved using statistical software.
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)
Study Materials
The course is taught annually.
The course is also listed under the following terms Autumn 2007 - for the purpose of the accreditation, Autumn 1999, Autumn 2010 - only for the accreditation, Autumn 2000, Autumn 2001, Autumn 2002, Autumn 2003, Autumn 2004, Autumn 2005, Autumn 2006, Autumn 2007, Autumn 2008, Autumn 2009, Autumn 2010, Autumn 2011 - acreditation, Autumn 2012, Autumn 2013, Autumn 2014.
  • Enrolment Statistics (Autumn 2011, recent)
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