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Lecturer(s)
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Jech Jakub, Ing. Ph.D.
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Brunclík Tomáš, Ing. Ph.D.
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Course content
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Spatial analyses: definition, history, aims. Types of used methods. Spatial statistics. Utilization of each particular type of spatial data.
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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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Running of complex spatial regional analyses by means of analytical and synthetical functions of geographic information systems.
The students will be able to independently complete complex space analyses.
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Prerequisites
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Basic knowledge of 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.
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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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