548-0093/01 – Quantitative methods in geography (KMG)
| Gurantor department | Department of Geoinformatics | Credits | 5 |
| Subject guarantor | prof. Ing. Igor Ivan, Ph.D. | Subject version guarantor | prof. Ing. Igor Ivan, Ph.D. |
| Study level | undergraduate or graduate | | |
| | Study language | English |
| Year of introduction | 2014/2015 | Year of cancellation | 2022/2023 |
| Intended for the faculties | HGF | Intended for study types | Bachelor |
Subject aims expressed by acquired skills and competences
- 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
Teaching methods
Lectures
Tutorials
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.
Compulsory literature:
Recommended literature:
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.
Way of continuous check of knowledge in the course of semester
E-learning
Other requirements
No other requirements are defined.
Prerequisities
Subject has no prerequisities.
Co-requisities
Subject has no co-requisities.
Subject syllabus:
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) Inferential Statistic - t-test, ANOVA
9) Spatial statistics for point pattern. Randomness and Randomization. Declustering.
10)Introduction to inferential statistical tests for point pattern.
11) Correlation analysis.
12) Spatial autocorrelation.
13) Regression analysis
14) Local regression analysis, GWR.
Conditions for subject completion
Conditions for completion are defined only for particular subject version and form of study
Occurrence in study plans
Occurrence in special blocks
Assessment of instruction