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Lecturer(s)
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Bednář Pavel, RNDr. Ph.D.
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Course content
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- Theory and data base in regional analysis - Measuring of spatial concentration of economic activities- - Social Network Analysis of the actors of regional development - Gravity models in regional analysis - Space-diffusion models of socio-economic phenomena - Methods of assessment of demographic trends in regional analysis - Measuring ties of economic activities in a region - Hypothesis Testing - Analysis of the dependence in regional analysis and spatial autocorrelation - Multi-criteria decision-making methods in regional analysis - Visualization of the spatial disparities and relationships in regional analysis - Measuring regional diversification - Workshop with expert practitioner
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Learning activities and teaching methods
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Monologic (Exposition, lecture, briefing), Dialogic (Discussion, conversation, brainstorming), Activating (Simulation, games, dramatization), Exercises on PC, Teamwork
- Home preparation for classes
- 26 hours per semester
- Preparation for course credit
- 15 hours per semester
- Participation in classes
- 39 hours per semester
- Preparation for examination
- 20 hours per semester
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| prerequisite |
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| Knowledge |
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| Knowledge of socioeconomic and administrative geography along with quantitative methods of data processing and elementary level of using computer software (primarily the Microsoft Office Excel 2013, 2016 or 2019), knowledge of English on the bachelor level. |
| Knowledge of socioeconomic and administrative geography along with quantitative methods of data processing and elementary level of using computer software (primarily the Microsoft Office Excel 2013, 2016 or 2019), knowledge of English on the bachelor level. |
| learning outcomes |
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| Student knows a wide range of methods applied in regional analysis and can apply them in solving model situations. In model situations, student is able to choose relevant data, to process data using suitable quantitative or qualitative methods and to interpret the outcomes including linkages between variables and other associations. Student is able to elaborate complex analysis of a spatial problem using a wide range of methods. Student is able to elaborate spatial projections of further changes on the basis of relevant data. Student is able to elaborate analytical background, including data and visualisation outputs, as a basis for further argumentation in the decision-making process. Student is able to solve regional tasks in team. |
| Student knows a wide range of methods applied in regional analysis and can apply them in solving model situations. In model situations, student is able to choose relevant data, to process data using suitable quantitative or qualitative methods and to interpret the outcomes including linkages between variables and other associations. Student is able to elaborate complex analysis of a spatial problem using a wide range of methods. Student is able to elaborate spatial projections of further changes on the basis of relevant data. Student is able to elaborate analytical background, including data and visualisation outputs, as a basis for further argumentation in the decision-making process. Student is able to solve regional tasks in team. |
| teaching methods |
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| Teamwork |
| Teamwork |
| Monologic (Exposition, lecture, briefing) |
| Monologic (Exposition, lecture, briefing) |
| Dialogic (Discussion, conversation, brainstorming) |
| Dialogic (Discussion, conversation, brainstorming) |
| Activating (Simulation, games, dramatization) |
| Activating (Simulation, games, dramatization) |
| Exercises on PC |
| Exercises on PC |
| assessment methods |
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| Written examination |
| Oral examination |
| Analysis of the student's performance |
| Written examination |
| Analysis of the student's performance |
| Oral examination |
| Grade (Using a grade system) |
| Grade (Using a grade system) |
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Recommended literature
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HENDL, J. Přehled statistických metod. Praha, 2015. ISBN 978-80-262-0981-2.
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Hendl, J. Statistika v aplikacích. Praha, 2014. ISBN 9788026207009.
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KARLSSON, Ch., ANDERSSON, M., NORMAN, T. Handbook of research methods and applications in economic geography. Cheltenham, UK: Edward Elgar Publishing, 2015. ISBN 9780857932662.
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Kolektiv autorů. Práce v prostředí SPSS. Praktická příručka pro uživatele. Zlín: UTB ve Zlíně, 2015.
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KOURTIT, K., NIJKAMP, P., STIMSON, R. J. Applied regional growth and innovation models. Heidelberg: Springer, 2014. ISBN 9783642378188.
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Projekt OPVK Inovace výuky regionálního rozvoje. Studijní materiál o praktickém využívání statistického softwaru SPSS. UTB ve Zlíně, FaME, ÚRVP, 2013.
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THILL, J-C. Spatial analysis and location modeling in urban and regional systems. Berlin: Springer, 2018. ISBN 9783642378959.
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