Objectives and competences
Students:
- will learn basic statistical methods in geography,
- get acquainted with usage of those methods in scientific, research and pedagogical work,
- using basic statistical methods, students will perceive basic statistical concepts and methods of statistical work: quantitative processing and analysis of statistical geospatial data, determining principles in mass occurrences, quantitative conveyance of principles and qualitative valuation,
- also acquire basic ability in computer data processing.
Content (Syllabus outline)
1. Basic concepts in statistics (population, sample, unit, variable).
2. Geographical sampling methods.
3. Geographical databases – collecting data, managing and developing spatial databases.
4. Univariate statistical methods in geography (relative measures, frequency distributions, kvantiles, central tendency measures, variability measures)
5. Statistcal inference on geographical topics (F-test, t-test, ANOVA, Kruskal-Wallis test).
6. Bivariate statistical methods in geography (kontigency tables, ?2 statistics, linear regression, correlatiion).
Learning and teaching methods
- lectures,
- AV presentations,
- Key-studies discussions.
Intended learning outcomes - knowledge and understanding
Students:
- acquire ability to process, analyse and quantitatively valuate empirical data of mass occurrences through use of statistical methods,
- may, on a basis of critical analysis of empirical data and based on quantitative expressing of principles, critically valuate geographic occurrences and processes in geographic space and substantiate principles through research work,
- may efficiently use basic statistical methods for research and pedagogical work.
Readings
Ivajnšič, D. 2020: Kvantitativne metode v geografiji : zbirka vaj z rešitvami. Maribor: Filozofska fakulteta, Fakulteta za naravoslovje in matematiko, 2020. 1 spletni vir, ilustr. http://185.164.136.112:21201/ivajnsicStudentskaGradiva/kvantitativneMetodeVGeografiji/
Ivajnšič, D., Geografski informacijski sistemi : zbirka vaj. Maribor: Fakulteta za naravoslovje in matematiko, 2019. 1 spletni vir (1 datoteka PDF ([138] str.)), ilustr. http://185.164.136.112:21201/ivajnsicStudentskaGradiva/geografskiInformacijskiSistemi/.
Rogerson P.A. 2010: Statistical Methods for Geography; A student’s Guide, Third Edition; SAGE Publications, London.
Košmelj K. 2007. Uporabna statistika. Druga dopolnjena izdaja. Ljubljana, Biotehniška fakulteta.
Kitchin R., Tate N.J. 2000: Conducting Research into Human Geography, theory, methodology and practice. London.
Pfajfar L., Arh F. 2000: Statistika 1, Ekonomska fakulteta, UL, Ljubljana.
Rogerson P.A. Introduction to Statistical Methods for Geography. http://www.sagepub.com/rogerson3e/Chapter%201.pdf.
Vsako študijsko leto bo seznam študijske literature posodobljen./ The list of study literature will be updated each school year.
Additional information on implementation and assessment - exercises in the MS Excel environment, - 50 %
- written examination. - 50 %
