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Lecturer(s)
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Petr Pavel, doc. Ing. Ph.D.
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Course content
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Geographic information systems. Spatial phenomena and features and their modelling. Spatial analyses - definition, history, aims, used metods. Selected methods of spatial analyses (queries, network analyses, topological overlay, geostatistical methods). Visualisation methods.
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Learning activities and teaching methods
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Monologic (reading, lecture, briefing), Dialogic (discussion, interview, brainstorming), Work with text (with textbook, with book)
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Learning outcomes
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The course is aimed at clarification of theoretical principals and solution of practical problems with application of Data Mining, Web Mining and Text Mining. Attention is paid to tasks of data transformation, pre-processing and verification, furthermore selection of the appropriate methods, process evaluation and results' interpretation.
Student will be able to suitably apply methods of spatial analyses and visualisation methods during solving spatially-oriented tasks.
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Prerequisites
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unspecified
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Assessment methods and criteria
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Home assignment evaluation, Student performance assessment
Students have to take part in seminars. They will be required to create and present a seminar work (topics will be provided).
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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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Konecny, Gottfried. Geoinformation : remote sensing, photogrammetry and geographic information systems. London: Taylor & Francis, 2003. ISBN 0-415-23795-5.
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LONGLEY, P. A. Geographic information systems and science. Chichester, 2001.
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ROBINSON, A. H. Elements of Cartography. New York, 1995.
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Slocum, Terry A. Thematic cartography and geovisualization. Upper Saddle River: Pearson Education, 2009. ISBN 978-0-13-229834-6.
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