118-0351/02 – Basics of Data Analysis in Regional Science (ZADR)
Gurantor department | Department of Regional and Environmental Economics | Credits | 3 |
Subject guarantor | prof. Ing. Jan Sucháček, Ph.D. | Subject version guarantor | prof. Ing. Jan Sucháček, Ph.D. |
Study level | undergraduate or graduate | Requirement | Choice-compulsory |
Year | 1 | Semester | winter |
| | Study language | Czech |
Year of introduction | 2012/2013 | Year of cancellation | 2020/2021 |
Intended for the faculties | EKF | Intended for study types | Follow-up Master |
Subject aims expressed by acquired skills and competences
The goal is to familiarize students with the basic regional science information data sources, with the methods of data collection and processing.
Teaching methods
Lectures
Tutorials
Summary
Students will be familiarized with the basic regional science information data sources, with the methods of data collection and processing. Attention is especially given to the analytical data processing by using basic statistical methods. The course is practically oriented and puts emphasis on working with real data. During the semester students developed a case study for the specified region, which will be presented separately at the end. Analytic softwares as MS-Excel and IBM SPSS will be in use during the course.
Compulsory literature:
ANSELIN, L. Local indicators of spatial association - LISA. Geographical Analysis 27(2), 1995.
Recommended literature:
ANSELIN, L. Spatial Econometrics: Methods and Models. Dordrecht: Kluwer Academic Publishers, 1988.
GETIS, A., ORD, J., K. The Analysis of Spatial Association by Use of Distance Statistics, Geographical Analysis, 1992, 24, 189-206.
Way of continuous check of knowledge in the course of semester
E-learning
Other requirements
účast na cvičeních je pro studenty povinná
Prerequisities
Subject has no prerequisities.
Co-requisities
Subject has no co-requisities.
Subject syllabus:
1. Overview of information data sources (regional, national accounts)
2. Basic classifications and nomenclatures and international standards (NACE, ISCO, NUTS)
3. Quantitative Methods in regional science, methods of data collection
4. Regional analysis
5. Construction of regional descriptors
6. Basics regional descriptors (statistical and graphical description)
7. Development of regions (time series analysis)
8. The results interpretation, presentation
Conditions for subject completion
Occurrence in study plans
Occurrence in special blocks
Assessment of instruction
Předmět neobsahuje žádné hodnocení.