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Lecturer(s)
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Hais Martin, RNDr. Ph.D.
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Grill Stanislav, Mgr.
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Course content
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1. Recapitulation of basic GIS course, creation of map outputs 2. Data, data structures, format geodatabase, topology (file system storage, database storage, web services) 3. Spatial analysis based on vector data (overlay functions, distance functions, data updating) 4. Spatial analysis based on raster data (raster algebra, terrain functions, raster interpolation) 5. Basic approach and usage spatial data in 3D environment - spatial analysis and visualization in 3D Analyst (ESRI) extension 6. Automatization of data processing (batch processing, model builder - creation of the own new models in GIS) 7. Basic geostatistical tools (interpolation and sampling techniques) 8. GIS tools in web environment (map servers, OGC and ISO services, data sources, gis within "light web client") 9. Open-source GIS tools (free GIS tools, open-source tools, add-ons, and extensions) 10. Cartographic outputs (atlas creation, cartographic representations, templates) 1. Map outputs (recapitulation of basic GIS course) 2. Spatial data management (data, data structures, format geodatabase, topology) 3. Spatial analysis based on vector data (overlay functions, distance functions, data updating) 4. Spatial analysis based on raster data (raster algebra, terrain functions, raster interpolation) 5. Basic approach and usage spatial data in 3D environment - spatial analysis and visualization in 3D Analyst (ESRI) extension 6. Automatization of data processing (batch processing, model builder - creation of the own new models in GIS) 7. Basic geostatistical tools (interpolation and sampling techniques) 8. GIS tools in web environment (map servers, OGC and ISO services, data sources) 9. Open-source GIS tools (free GIS tools, open- source tools, add-ons, and extensions) 10. Cartographic outputs (atlas creation, cartographic representations, templates)
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Learning activities and teaching methods
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Monologic (reading, lecture, briefing), Work with text (with textbook, with book), Work with multi-media resources (texts, internet, IT technologies), Individual tutoring
- Class attendance
- 56 hours per semester
- Preparation for classes
- 15 hours per semester
- Preparation for exam
- 16 hours per semester
- Semestral paper
- 25 hours per semester
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Learning outcomes
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The aim of the course is to deepen students' knowledge of GIS as a tool suitable for analytical processing of spatial data and modelling spatial distribution of geographical phenomena. The course works with topics from the field of landscape ecology, geography, geology, urban planning. The course is aimed at teachers so the visualization of spatial relationships in the landscape around us and their appropriate display in the map are crucial. Cartographic outputs should appropriately demonstrate geographical phenomena for high school students and support their understanding.
The student will acquire basic knowledge about processing of spatial data analysis. The student will learn how to access the most common operations on raster and vector data and will understand the principles of commonly used functions in GIS. At the same time, he will get the basic knowledge for GIS tasks automation and how to create his own models in ESRI GIS programs (ArcGIS).
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Prerequisites
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The course freely follows the course GIS I. (KBE / 548), but its fulfillment is not necessary if the student has a basic idea of GIS systems. Against GIS I. (KBE / 548), the course aims more on spatial data analysis.
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Assessment methods and criteria
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Student performance assessment, Combined exam, Interim evaluation
Continuous elaboration of the practical assignment (individual exercises) on topics given by the lecturer.
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Recommended literature
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Worboys, M. GIS: A Computing Perspective.. 2004. ISBN 0-415-28375-2.
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Burrough, P. A.; McDonnell, Rachael; Lloyd, Christopher D. Principles of geographical information systems. Third edition. Oxford : Oxford University Press, 2015. ISBN 978-0-19-874284-5.
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Hlásny, T. Geografické informačné systémy. Priestorové analýzy. Zvolen, 2007. ISBN 978-80-8093-029-5.
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Mitchell, Andy. The ESRI guide GIS analysis. Volume 2, Spatial measurements statistics. Redlands : ESRI Press, 2005. ISBN 1-58948-116-X.
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Mitchell, Andy. The ESRI guide to GIS analysis. Vol. 1, Geographic patterns & relationships. Redlands : ESRI Press, 1999. ISBN 1-879102-06-4.
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