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Lecturer(s)
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Komárková Jitka, prof. Ing. Ph.D.
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Course content
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659 / 5,000 Lectured topics: Spatial phenomena and objects and their modelling (representation) in the environment of geographic information systems. Spatial analyses: definition, history, goals, classification of used methods. Spatial analysis methods (network analysis, map algebra, distance analysis, database queries, spatial combinations of objects, spatial statistical methods, map algebra). Image processing, including RGB data. Cartography and cartographic methods. Spatiotemporal data analyses (spatiotemporal cubes). Trends: use of UAVs and processing of obtained data. Trends: 3D printing. Trends - web applications, participatory technologies and web cartography.
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Learning activities and teaching methods
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unspecified, Dialogic (discussion, interview, brainstorming), Work with text (with textbook, with book), Methods of individual activities
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Learning outcomes
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The aim of the course is to familiarize students with the theoretical foundations of advanced spatial analysis methods and the possibilities of their use.
The student will be able to appropriately apply advanced methods of spatial analysis and visualization of data representing spatial phenomena and objects when solving spatially oriented problems.
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Prerequisites
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unspecified
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Assessment methods and criteria
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Discussion, Self project defence
Preparation and successful defense of an assigned project on the subject matter covered in a professional discussion with an emphasis on the implementation of the acquired knowledge within the doctoral student's doctoral dissertation.
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Recommended literature
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BALLAS, D., CLARKE, G., FRANKLIN, R. S., NEWING. A. GIS and the social sciences: theory and applications. Florence, 2018. ISBN 978-1-317-63882-7.
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Longley, Paul. Geographic information science & systems. Hoboken: Wiley, 2015. ISBN 978-1-118-67695-0.
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