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Lecturer(s)
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Šmída Jiří, Mgr. Ph.D.
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Vrbík Daniel, Mgr. Ph.D.
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Course content
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1. GIScience: Introduction, Object of Study, Spatial Information and Data. Geoinformatics and their Applications. 2. Representing Reality: Digital Data, Discrete Object and Continuous Fields, Raster and Vector Data, Uncertainty, Metadata. 3. Geographic Data Modeling: Data Models. 4. Remote Sensing: Physical Nature of Methods of RS. 5. Satellite Systems of RS. Remote Sensing as a Source of Spatial Data and Information. 6. Global Navigation Satellite Systems: Principles of Positioning and Navigation. 7. Global Navigation Satellite Systems as a Source of Spatial Data. The Applications of GNSS. 8. Geographic Information Systems: Anatomy of GIS, Functions of GIS, GIS and the Study of Geography. 9. GIS, Cartography and Map Production. 10. Spatial Data Analysis: Analysis Based on Location, Analysis of Attribute Tables, Polygon Overlay, Analysis Based on Distance. 11. Spatial Raster Data Analysis: Map Algebra, Spatial Interpolations, Analysis of Surfaces. 12. Internet GIS: Distributed GIS, Map Services and Map Servers. Web Cartography. 13. Sources of Digital Geographic Data. 14. GIScience: Management and Policy. GIT Ethics and Decision Making.
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Learning activities and teaching methods
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Monological explanation (lecture, presentation,briefing), Self-study (text study, reading, problematic tasks, practical tasks, experiments, research, written assignments)
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Learning outcomes
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The course defines the concept of Geoinformatics. Lectures are aimed at a cross-section of Remote Sensing, Global positioning and navigation systems and Geographic Information Systems. The emphasis is on specific applications of GIS, Remote Sensing and GNSS. Particular attention is paid to the methods of collecting and digitizing data, data models creation, database systems theory, digital terrain models, modeling for physical and socio-economic geography, GIS analytical capabilities and GIS software.
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Prerequisites
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The course can only be taken by students who have completed the credit from the KGD/KAR course.
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Assessment methods and criteria
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Combined examination
Seminars and lectures are required. Allowed one absence for seminar and two absences for the lecture.
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Recommended literature
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MITCHELL,A. GIS Analysis, Vol. 1 geographic Patterns. ESRI Press. Redlands. 186 s., 1999.
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MITCHELL,A. GIS Analysis, Vol. 2 : Spatial Measurements& Statistics. ESRI Press. Redlands. 238 s., 2005.
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P. A., GOOGDCHILD, M. F., MAGUIRE, D. J., RHIND, D. W. Geographic Information Systems and Science. John Wiley & Sons, 2011. ISBN 9780470721445.
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TUČEK, J.:. Geografické informační systémy. Praha, 1998.
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