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Lecturer(s)
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Šmída Jiří, Mgr. Ph.D.
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Vrbík Daniel, Mgr. Ph.D.
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Course content
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Thematic areas: 1. Open geographical data portals as sources for data models of cross-border regional studies, metadata and sources of uncertainty in data. 2. Use of remote sensing methods for regional development, spatial planning and border studies. 3. Field data collection techniques with the support of GIS, GNSS, and remote sensing. 4. Geostatistical methods in GIS on examples of geographical tasks for regional studies.
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Learning activities and teaching methods
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unspecified
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Learning outcomes
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The aim of the course is to develop students' ability to independently and collaboratively apply geographic thinking, geoinformatics and cartographic tools to address complex regional development challenges. Building on knowledge acquired at the bachelor's level, the course is focused on project-based and problem-oriented tasks that simulate real decision-making situations in public administration, spatial planning, regional strategies and participatory processes. Students learn to formulate project concepts, select and critically assess spatial data, analytical approaches and visualization methods, interpret results with respect to different target audiences, and justify their decisions, including reflection on uncertainties, limitations and biases. Emphasis is placed on communicating analytical outcomes, teamwork, and the transferability of acquired competencies to professional practice and diploma thesis preparation.
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Prerequisites
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unspecified
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Assessment methods and criteria
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unspecified
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Recommended literature
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LONGLEY, P. A. et al. Geographic information systems and science. 3rd ed.. Hoboken John Wiley & Sons, 2011.
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