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Lecturer(s)
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Wagner Matěj, Mgr.
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Šerý Miloslav, Mgr. Ph.D.
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Fiedor David, doc. Mgr. Ph.D.
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Toušek Václav, doc. RNDr. CSc.
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Course content
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Content of lectures: 1) Regions 2) Population data sources 3) Sources of economic geography data 4) Data sources in meteorology, climatology and hydrology 5) Data sources from geomorphology, pedogeography and biogeography 6) Data sources from political geography Content of seminars: 1) Introduction, data and their importance in science and education 2) Introduction to Excel, questionnaire 3) Types of data, first and second classification 4) Basic statistical and time series characteristics 5) Relativization of data 6) Correlation analysis I. 7) Correlation analysis II. 8) Synthetic indicators 9) Importing data into Excel, linking tables 10) Conditional formatting, logical operators 11) Complex independent task
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Learning activities and teaching methods
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Monologic Lecture(Interpretation, Training), Dialogic Lecture (Discussion, Dialog, Brainstorming), Work with Text (with Book, Textbook)
- Preparation for the Exam
- 30 hours per semester
- Homework for Teaching
- 13 hours per semester
- Attendace
- 26 hours per semester
- Semestral Work
- 36 hours per semester
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Learning outcomes
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The aim of the course is to acquaint students with the basic sources of geographic data and methods of their processing, in the context of practical applications in teaching. Emphasis will be placed on orientation in publicly available data related to both physical and human geography. Students will practice basic methods of descriptive statistics on the basis of these data. In addition, students will learn about the phases of preparing and conducting a questionnaire survey and, above all, the methods of its evaluation.
Get acquainted with the basic sources of secondary data with a geographical theme and apply basic statistical methods for their processing.
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Prerequisites
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None.
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Assessment methods and criteria
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Mark, Written exam, Student performance
Requirements: attendance (one absence tolerated) and obtaining a sufficient number of points from the ongoing tasks. Exam requirements: knowledge in the scope of lectures, exercises and study literature.
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Recommended literature
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Bryman, A. (2012). Social research methods. Oxford ; New York : Oxford University Press.
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Frankfort-Nachmias, Ch., Leon-Guerrero, A. (2017). Social Statistics for a Diverse Society. Los Angeles: Sage Publications.
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Mareš, P., L. Rabušic, P. Soukup. (2015). Analýza sociálněvědních dat (nejen) v SPSS. Brno: Masarykova univerzita.
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Rogerson, P. A. (2006). Statistical Methods for Geography : A Student Guide. 2nd ed. London: SAGE Publications.
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Řezanková, H. (2010). Analýza dat z dotazníkových šetření.. Professional Publishing.
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Toušek, V., Kunc, J., & Vystoupil, J. (2008). Ekonomická a sociální geografie. Plzeň: Vydavatelství a nakladatelství Aleš Čeněk.
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