Z1069 Geographical Data Analysis 1

Faculty of Science
Autumn 2019
Extent and Intensity
1/1/0. 3 credit(s). Type of Completion: z (credit).
Teacher(s)
prof. RNDr. Petr Dobrovolný, CSc. (lecturer)
Mgr. Filip Hrbáček, Ph.D. (lecturer)
Mgr. Tomáš Čejka, Ph.D. (seminar tutor)
Mgr. Daniel Kaplan (seminar tutor)
Ing. Pavla Matějů (seminar tutor)
Mgr. et Mgr. Pavel Ugwitz, Ph.D. (seminar tutor)
Guaranteed by
prof. RNDr. Petr Dobrovolný, CSc.
Department of Geography – Earth Sciences Section – Faculty of Science
Contact Person: prof. RNDr. Petr Dobrovolný, CSc.
Supplier department: Department of Geography – Earth Sciences Section – Faculty of Science
Timetable
Wed 10:00–10:50 A,01026
  • Timetable of Seminar Groups:
Z1069/01: Thu 10:00–10:50 Z1,01001b, T. Čejka, D. Kaplan, P. Matějů, P. Ugwitz
Z1069/02: Thu 11:00–11:50 Z1,01001b, T. Čejka, D. Kaplan, P. Matějů, P. Ugwitz
Z1069/03: Thu 12:00–12:50 Z1,01001b, T. Čejka, D. Kaplan, P. Matějů, P. Ugwitz
Z1069/04: Thu 13:00–13:50 Z1,01001b, T. Čejka, D. Kaplan, P. Matějů, P. Ugwitz
Z1069/05: Mon 15:00–15:50 Z1,01001b, T. Čejka, D. Kaplan, P. Matějů, P. Ugwitz
Prerequisites (in Czech)
PROGRAM(B-GEK) || PROGRAM(B-GK) || PROGRAM(B-AG) || KREDITY_MIN(30)
Course Enrolment Limitations
The course is only offered to the students of the study fields the course is directly associated with.
fields of study / plans the course is directly associated with
Course objectives
The main aim of this course is to provide students with an overview of practical use of descriptive statistic. 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 different 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
Learning outcomes
Completing the course students will we able:
- to apply exploratory data analysis, decide on data transformation
- to use descriptive statistics to summarize data samples
- to apply general procedure of statistical hypotheses tesing in typical situations of geographical data analysis
- to apply linear regression model for finding solution in typical geographical tasks
Syllabus
  • Introduction to statistics, specific features of geographical data
  • Descriptive statistics I – measures of central tendency, variability, higher order measures
  • Descriptive statistics II– exploratory data analysis, graphical tools
  • Teoretical distributions, probability
  • Point estimation and confidence intervals
  • Hypothesis testing I – basic terms and principles, normality, parametric tests
  • Hypothesis testing II – nonparametric tests
  • Relationships between variables – correlation measures and their interpretation, correlation of qualitative data
  • Regression – linear regression model and its interpretation
Literature
    recommended literature
  • BRÁZDIL, Rudolf, Miroslav KOLÁŘ and Pavel PROŠEK. Statistické metody v geografii (Statistical methods in geography). Brno: Masarykova univerzita Brno, 1993, 177 pp. ISBN 80-210-1260. info
  • HENDL, Jan. Přehled statistických metod : analýza a metaanalýza dat. 3., přeprac. vyd. Praha: Portál, 2009, 695 s. ISBN 9788073674823. info
  • ROGERSON, Peter. Statistical methods for geography : a student's guide. 3rd ed. Los Angeles: Sage, 2010, xvi, 348. ISBN 9781848600034. info
  • WALFORD, Nigel. Practical statistics for geographers and Earth scientists. 1st ed. Oxford: Wiley-Blackwell, 2011, xxiii, 416. ISBN 9780470849156. info
  • MAINDONALD, J. H. Data analysis and graphics using R : an example-based approach. Edited by John Braun. New York: Cambridge University Press, 2003, xxiii, 362. ISBN 0521813360. info
    not specified
  • BURT, James E., Gerald M. BARBER and David L. RIGBY. Elementary statistics for geographers. 3rd ed. New York: Guilford Press, 2009, xii, 653. ISBN 9781572304840. info
Teaching methods
Lectures explaining basic terms and presenting individual examples step by step. Practical training based on 10 exercises that are solved using statistical software.
Assessment methods
Two written tests, the first one practical with the use of computer. Elaboration of all practical excercises is the necessary conditon for passing the exam.
Language of instruction
Czech
Further Comments
Study Materials
The course is taught annually.
The course is also listed under the following terms Autumn 2014, Autumn 2015, Autumn 2016, autumn 2017, Autumn 2018, Autumn 2020, autumn 2021, Autumn 2022, Autumn 2023, Autumn 2024.
  • Enrolment Statistics (Autumn 2019, recent)
  • Permalink: https://is.muni.cz/course/sci/autumn2019/Z1069