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Lecturer(s)
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Komárková Jitka, prof. Ing. Ph.D.
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Krátký Martin, Ing.
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Jech Jakub, Ing. Ph.D.
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Course content
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Spatial phenomena and objects and their modeling (representation) in the environment of computer information systems. Methods of collection and preprocessing of spatial data (geodesy, photogrammetry, remote sensing). Spatial data analysis methods - classification of methods, characteristics and specifics of outputs of individual types of methods. Cartography and cartographic methods. Processing and visualization of 3D data. Processing and visualization of spatiotemporal data (spatiotemporal cubes). Processing and visualization of data obtained using remote sensing methods. The issue of 3D printing. Data processing in the web application environment. Web cartography. State map works of the Czech Republic.
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Learning activities and teaching methods
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Monologic (reading, lecture, briefing), Dialogic (discussion, interview, brainstorming), Skills training
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Learning outcomes
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The aim of the subject is to introduce the students to the theoretical foundations and practical use of advanced data processing and visualization methods with a focus on spatial data. The issue of data collection and pre-processing will also be included.
The students will be able to independently complete complex space analyses.
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Prerequisites
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Basic knowledge of GIS and databases.
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Assessment methods and criteria
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Written examination, Home assignment evaluation, Student performance assessment
Assignment is granted upon successful defence of an independent practical project during which the student shows his/her ability to apply theoretical knowledge to practical cases. Exam: 50 % project evaluation, 50 % written exam. More detailed requirements are published as a study material in STAG.
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Recommended literature
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CLARKE, K. C., PARKS, B.O., CRANE, M. P. Geographic Information Systems and Environmental Modeling. Upper Sadle River, 2002.
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Longley, Paul A. Geographic information systems and science. Chichester: John Wiley & Sons, 2001. ISBN 0-471-89275-0.
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