Course Unit Code | 548-0093/03 |
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Number of ECTS Credits Allocated | 6 ECTS credits |
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Type of Course Unit * | Optional |
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Level of Course Unit * | First Cycle |
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Year of Study * | |
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Semester when the Course Unit is delivered | Winter Semester |
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Mode of Delivery | Face-to-face |
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Language of Instruction | English |
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Prerequisites and Co-Requisites | Course succeeds to compulsory courses of previous semester |
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Name of Lecturer(s) | Personal ID | Name |
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| IVA026 | prof. Ing. Igor Ivan, Ph.D. |
Summary |
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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 |
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- 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 |
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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 |
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Required Reading: |
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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.
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Recommended Reading: |
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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 |
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Lectures, Tutorials |
Assesment methods and criteria |
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Tasks are not Defined |