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ECTS Course Overview



Quantitative methods in geography

* Exchange students do not have to consider this information when selecting suitable courses for an exchange stay.

Course Unit Code548-0093/03
Number of ECTS Credits Allocated6 ECTS credits
Type of Course Unit *Optional
Level of Course Unit *First Cycle
Year of Study *
Semester when the Course Unit is deliveredWinter Semester
Mode of DeliveryFace-to-face
Language of InstructionEnglish
Prerequisites and Co-Requisites Course succeeds to compulsory courses of previous semester
Name of Lecturer(s)Personal IDName
IVA026prof. Ing. Igor Ivan, Ph.D.
Summary
The main goal of this course is to introduce to students principles and methods of quantitative analysis in geography. It provides an overview of basic methods for statistical evaluation of data with the focus on the spatial aspects of geographic data. This course introduces both classical statistical methods of data analysis, as well as derived alternatives for quantitative analysis of geographic data.
Learning Outcomes of the Course Unit
- Student demonstrates knowledge:
• basic concepts of statistics
• basic methods Exploratory data analysis and spatial Exploratory data analysis
• assessment of the spatial distribution of geographic data
• correlation, autocorrelation and spatial autocorrelation
• regression modeling
- Students can:
• apply introduced quantitative methods
• analyze geographic data and take advantage of the spatial aspect of these data
- Student is able to:
• interpret the results
• decide on appropriate procedures based on the analyzed data and the results of quantitative analysis
Course Contents
1) Definition, history and goals of quantitative methods in geography. Basic statistical terms.
2) Types of variables and their relationship to quantitative analysis in geography. Basics of graphical visualisations of geographical data.
3) Basic theoretical distributions
4) Data transformation and standardization.
5) Exploratory data analysis (graphical and numerical description of the data distribution).
6) Exploratory Spatial Data Analysis. Trend analysis.
7) Inferential Statistic - t-test, ANOVA
8) Spatial statistics for point pattern. Randomness and Randomization. Declustering.
9)Introduction to inferential statistical tests for point pattern.
10) Correlation analysis.
11) Spatial autocorrelation.
12) Regression analysis, local regression analysis, GWR.
13) Introduction to analysis of time series.
Recommended or Required Reading
Required Reading:
ROGERSON, P.A. (2019): Statistical Methods for Geography: A Student’s Guide, SAGE Publications Ltd, 432 P. ISBN 978-1526498809.
SMITH, M. J., GOODCHILD, M. F., LONGLEY, P. A. (2006): Geospatial Analysis, Troubador Publishing Ltd., 414 p. Dostupné z: .
FOTHERINGHAM, A.S., BRUNSDON, C., CHARLTON, M. (2000): Quantitative Geography: Perspectives on Spatial Data Analysis. Sage Publications Ltd., 272 p.
O'SULLIVAN, D., UNWIN, D. (2010): Geographical Information Analysis. Wiley. 432 p.
ROGERSON, P.A. (2019): Statistical Methods for Geography: A Student’s Guide, SAGE Publications Ltd, 432 P. ISBN 978-1526498809.
SMITH, M. J., GOODCHILD, M. F., LONGLEY, P. A. (2006): Geospatial Analysis, Troubador Publishing Ltd., 414 p. Dostupné z: .
FOTHERINGHAM, A.S., BRUNSDON, C., CHARLTON, M. (2000): Quantitative Geography: Perspectives on Spatial Data Analysis. Sage Publications Ltd., 272 p.
O'SULLIVAN, D., UNWIN, D. (2010): Geographical Information Analysis. Wiley. 432 p.
Recommended Reading:
SMITH, M.J.: Statistical Analysis Handbook [online]. Dostupné z: .
FOTHERINGHAM, A. S., ROGERSON, P. A. (eds.) (2009): The SAGE Handbook of Spatial Analysis, Sage Publications Ltd., 528 p.
McGREW, Jr., CHAPMAN, J., MONROE, C.B. (2009): An Introduction to Statistical Problem Solving in Geography, Waveland Pr Inc, 254 p.
BURT, J.E., BARBER, G.M. (2009): Elementary Statistics for Geographers Hardcover, Guilford Press, 653 P.
SMITH, M.J.: Statistical Analysis Handbook [online]. Dostupné z: .
FOTHERINGHAM, A. S., ROGERSON, P. A. (eds.) (2009): The SAGE Handbook of Spatial Analysis, Sage Publications Ltd., 528 p.
McGREW, Jr., CHAPMAN, J., MONROE, C.B. (2009): An Introduction to Statistical Problem Solving in Geography, Waveland Pr Inc, 254 p.
BURT, J.E., BARBER, G.M. (2009): Elementary Statistics for Geographers Hardcover, Guilford Press, 653 P.
Planned learning activities and teaching methods
Lectures, Tutorials
Assesment methods and criteria
Tasks are not Defined