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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 aim of the course is to introduce students of Applied Geography to the field of geoinformatics and to establish a foundational understanding of digital geographic technologies and their application in geographic practice. The course provides an overview of key principles of Remote Sensing, Global Navigation Satellite Systems (GNSS) and Geographic Information Systems (GIS), with a focus on their practical applications in both physical and socio-economic geography. Students become familiar with the basic procedures of geographic data collection and digitisation, the creation of data and database models, working with Digital Terrain Models, and using fundamental GIS analytical functions. Emphasis is placed on understanding the relationship between geographic problems, data, and analytical methods, as well as developing the ability to orient oneself within the possibilities of geoinformatics tools and GIS software, which serves as a foundation for further application- and project-oriented courses in the study programme.
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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
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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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