| Course Unit Code | 548-0064/06 |
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| Number of ECTS Credits Allocated | 4 ECTS credits |
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| Type of Course Unit * | Choice-compulsory type B |
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| Level of Course Unit * | Second Cycle |
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| Year of Study * | First Year |
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| Semester when the Course Unit is delivered | Summer Semester |
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| Mode of Delivery | Face-to-face |
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| Language of Instruction | Czech |
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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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| RUZ02 | Ing. Kateřina Růžičková, Ph.D. |
| IVA026 | prof. Ing. Igor Ivan, Ph.D. |
| KUK064 | Ing. Pavel Kukuliač, Ph.D. |
| Summary |
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| This subject is useful for students using geographic information systems and other GI technologies for regional analyses. Although this subject is focused mainly on socioeconomic activities, a substantial part is also focused on physical geography (mainly environmental issues). The student will learn how to collect available data, process it and display using maps. |
| Learning Outcomes of the Course Unit |
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| The aim of the subject is to give information students about principles of geographical information systems and their application in regional analysis. Students should be able to propose and practically realise basic tasks needed in the frame of regional analysis, to prepare adequate outputs and to interpret obtain results. |
| Course Contents |
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1. GIS, application domains, terminology.
2. Data, spatial data, geodata.
3. Features, composition of features and its description. Geometrical description of features.
4. Thematic, temporal, relational, functional and qualitative descriptions of features.
5. Methods of spatial data collection. GNSS, Earth observation.
6. Sources of digital geodata.
7. Input of spatial data. Sources of errors.
8. Spatial data analysis.
9. Spatial data analysis.
10. Specific features of socio-ecomomic data.
11. Geocoding, address matching.
12. Data visualiasion, presentation.
13. Basic cartographical rules.
14. Selected case studies. |
| Recommended or Required Reading |
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| Required Reading: |
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| Longley, P.A., Goodchild, M., MaguireD.J., Rhind, D.W. (2015): Geographic Information Systems and Science, Wiley, 496p. |
Ivan, I. (2012): GIS pro regionální rozvoj, VŠB- TU Ostrava, 100 str.
Voženílek, V., Kaňok, J., a kol.(2011): Metody tematické kartografie - Vizualizace prostorových jevů . Univerzita Palackého v Olomouci, 216 str.
Kolektiv autorů (2010): Atlas krajiny ČR. Ministerstvo životního prostředí, 332 str. Dostupné z: .
Longley, P.A., Goodchild, M., MaguireD.J., Rhind, D.W. (2015): Geographic Information Systems and Science, Wiley, 496p. |
| Recommended Reading: |
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Smith, M.J.: Statistical Analysis Handbook [online]. Dostupné z: .
Rogerson, P.A. (2019): Statistical Methods for Geography: A Student’s Guide, SAGE Publications Ltd, 432 p.
Awange, J., Kiema, J. (2013): Environmental Geoinformatics. Extreme Hydro-Climatic and Food Security Challenges: Exploiting the Big Data. Springer, Earth and Environmental Science, 635 p. |
Horák, J. (2009): Zpracování dat v GIS. VŠB – TU Ostrava 2009. 2.vydání. 199 str.
Smith, M.J.: Statistical Analysis Handbook [online]. Dostupné z: .
Burian, J. (2010): Geoinformatika v prostorovém plánování. Univerzita Palackého v Olomouci, 136 str.
Awange, J., Kiema, J. (2013): Environmental Geoinformatics. Extreme Hydro-Climatic and Food Security Challenges: Exploiting the Big Data. Springer, Earth and Environmental Science, 635 p. |
| Planned learning activities and teaching methods |
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| Lectures, Tutorials |
| Assesment methods and criteria |
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| Task Title | Task Type | Maximum Number of Points
(Act. for Subtasks) | Minimum Number of Points for Task Passing |
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| Graded credit | Graded credit | 100 (100) | 51 |
| Zápočtová písemka | Written test | 44 | 10 |
| Samostatný projekt | Semestral project | 45 | 20 |
| Docházka na cvičení | Other task type | 11 | 7 |