| Course Unit Code | 548-0019/08 |
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| Number of ECTS Credits Allocated | 4 ECTS credits |
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| Type of Course Unit * | Compulsory |
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| Level of Course Unit * | First 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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| SVE0024 | doc. RNDr. Pavel Švec, Ph.D. |
| Summary |
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| The student acquires necessary range of knowledge about the sources of spatial data used in the field of geoinformation technologies. The course is focuses on an overview of the available data resources of the state and the commercial spatial data and their suitability for different application areas. Students will be familiar with the main datasets for the area of vector, raster and elevation data. The lectures include knowledge of current legislation, standards and directive related to spatial data. During the exercise students will learn basic spatial data manipulation, data import, digitizing analogue data and their registration into the coordinate system. |
| Learning Outcomes of the Course Unit |
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| The purpose of the subject is to familiarize students with the questions in the range that will allow them to apply their knowledge and skills for basic manipulation with spatial data and for their decision making about the selection of appropriate sources while solving practical assignments of certain thematic solutions. |
| Course Contents |
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1) Spatial data resources, formats
2) Classification of spatial data resources, metadata
3) Spatial data manipulations in GIS.
4) State Spatial data resources (national) – ČÚZK I.
5) State Spatial data resources (national) – ČÚZK II.
6) State Spatial data resources (national) – VGHMÚř
7) Commercial Spatial data resources.
8) Thematic data
9) Spatial data in public administration
10) Registrs and census data
11) Web maps
12) International spatial data sources
13) Technical standardization and harmonization, legal regulations for GIT. |
| Recommended or Required Reading |
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| Required Reading: |
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ANSELIN, L., REY, S.J. ed. 2010: Perspectives on spatial data analysis. Berlin: Springer.
DEVILLERS, R., JEANSOULIN, R., 2010: Fundamentals of Spatial Data Quality, John Wiley & Sons.
KRAAK, M.J., ORMELING, F.J. 2011: Cartography: visualization of spatial data. 3rd ed. New York: Guilford Press.
NOGUERAS-ISO, J., ed. 2005: Geographic information metadata for spatial data infrastructure. Springer.
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DEVILLERS, R., JEANSOULIN, R., (2010): Fundamentals of Spatial Data Quality, John Wiley & Sons.
HORÁKOVÁ, B., (2006): Systém evropské technické harmonizace a normalizace. Ostrava, VŠB-TUO. 85 s.
MIKULÍK, O., VOŽENÍLEK, V., VAISHAR, A. a kol. (2008): Studium rozvoje regionu založené na vizualizaci geoinformačních databází. Olomouc, UPOL. 181 s.
VONDRÁKOVÁ, A., (2012): Autorské právo v kartografii a geoinformatice. Olomouc , UPOL. 124 s.
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| Recommended Reading: |
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MONMONIER. M. 2018: How to Lie with Maps. 3rd ed. The University of Chicago Press. 256 p.
TYNER, J.A. 2010: Principles of map design. New York: Guilford Press. 259 p.
MAGUIRE, D.J., BATTY, M., GOODCHILD, M.F. ed. 2005: GIS, spatial analysis, and modeling. Redlands: ESRI Press. 480 p.
DUCKHAM, M., GOODCHILD, M.F., WORBOYS, M. ed. 2003. Foundations of geographic information science. London: Taylor & Francis. |
BURROUGH, P., MCDONNELL, A., (1998): Principles of Geographical Information Systems. Oxford University Press. 333 p.
KOLÁŘ, J., 2003: Geografické informační systémy. Praha, ČVUT. 161 s.
RAPANT, P., 2005: Geoinformační technologie. VŠB-TU Ostrava.
TYNER, J.A. 2010: Principles of map design. New York: Guilford Press. 259 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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| Credit and Examination | Credit and Examination | 100 (100) | 51 |
| Credit | Credit | 33 | 17 |
| Examination | Examination | 67 | 30 |