Course Unit Code | 548-0009/05 |
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Number of ECTS Credits Allocated | 5 ECTS credits |
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Type of Course Unit * | Compulsory |
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Level of Course Unit * | First Cycle |
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Year of Study * | Second Year |
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Semester when the Course Unit is delivered | Winter Semester |
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Mode of Delivery | Face-to-face |
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Language of Instruction | Czech |
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Prerequisites and Co-Requisites | Course succeeds to compulsory courses of previous semester |
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Name of Lecturer(s) | Personal ID | Name |
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| HOR10 | prof. Ing. Jiří Horák, Dr. |
Summary |
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The lectures include a review of various possibilities of spatial data processing in geographical information systems. Following main topics are explained: concepts of modifications and transformations of spatial data, basics of map algebra, overlay analysis, neighbourhood analysis including geostatistics and contiguity analysis. A typology of spatial analysis are completed by explanation of mathematical principles and concepts of appropriate algorithms, pros and cons or constraints of each method, case studies and examples of implementation in usual software. |
Learning Outcomes of the Course Unit |
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The aim of the subject is to give information students about methods and processes in Data processing in GIS, mainly data analysis. Beside to obtained overview the student will be able to design and realise appropriate procedures and critically evaluate different variants of the solution.
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Course Contents |
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Abstraction, models and modelling. Maintenance and analysis of graphical data.
Geometric transformation. Conflaction - horizontal, vertical. Editing graphical data.
Generalisation, topology control.
Maintenance and analysis of attribute data.
Geocoding, address matching, geoparsing.
Selection. Classification.
Simple (instant) calculations.
Map algebra
Overlays, quantification of overalys.
Multicriteria evaluation. Multitarget evaluation.
Neighbor analysis. Searching. Points and lines in polygones. Calculations and classifications using neighbor analysis.
Topographical functions. Thiessen polygons.
Interpolation.
Analysis of connectivity. Continuity measures.
Network analysis. Spread analysis.
Visibility analysis.
Spatial operators in SQL.
Uncertainity in GIS.
Error propagation.
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Recommended or Required Reading |
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Required Reading: |
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Smith M.J., Goodchild M.F., Longley P.A.: Geospatial Analysis. 2021. http://www.spatialanalysisonline.com
Roberts S.A., Robertson C.: Geographic Information Systems and Science. Oxford University Press, 2016.
Kanevski M. (ed): Advanced Mapping of Environmental Data. ISTA 2008.
Worboys M., Duckham M.: GIS. A computing perspective. CRC Press, ISBN 0-415-28375-2. 2004, 426 stran. |
Horák, J.: Zpracování dat v GIS, skripta, VŠB-TU Ostrava 2020. 244 stran.
Smith M.J., Goodchild M.F., Longley P.A.: Geospatial Analysis. 2021. http://www.spatialanalysisonline.com
Kaňuk, J.: Priestorové analýzy a modelovanie. UPJŠ v Košiciach, Košice 2015. ISBN 978-80-8152-290-1.
Hlásny, T.: Geografické informačné systémy – Priestorové analýzy. Zephyros & Národné lesnícke centrum – Lesnícky výskumný ústav Zvolen, 2007, 160 s. ISBN 978-80–8093-029-5. |
Recommended Reading: |
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Kanevski M. F.: Advanced mapping of environmental data : geostatistics, machine learning and Bayesian maximum entropy. ISTE 2008. 313 s., 978-1-84821-060-8
Zeiler M.: Modeling our World. ESRI Press, Redlands, CA, 1999, 199 pages
Wingle W., Poeter E.: Geostatistical Analysis Tutor. Colorado School of Mines. 1999. Available at http://www.uncert.com/tutor/
Burrough P., McDonnell A.: Principles of Geographical Information Systems. Oxford University Press, 1998, 333 stran. |
Burian J.: Geoinformatika v prostorovém plánování. UP Olomouc, 2014. ISBN 978-80-244-4104-7. 130 stran.
Macků K.: Multidisciplinární hodnocení kvality života v Evropě a na regionální úrovni. UP Olomouc, 2020. ISBN 978-80-244-5841-0.
Burrough P., McDonnell A.: Principles of Geographical Information Systems. Oxford University Press, 1998, 333 stran.
Schejbal, C.: Úvod do geostatistiky. Skriptum, Ostrava, VŠB-TU Ostrava, HGF, 1996, s.48, ISBN 80-7078-325-7 |
Planned learning activities and teaching methods |
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Lectures, Tutorials, Project work |
Assesment methods and criteria |
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Task Title | Task Type | Maximum Number of Points (Act. for Subtasks) | Minimum Number of Points for Task Passing |
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Exercises evaluation and Examination | Credit and Examination | 100 (100) | 51 |
Exercises evaluation | Credit | 33 (33) | 17 |
Projekt | Project | 14 | 0 |
Písemka | Written test | 12 | 0 |
Docházka | Other task type | 7 | 0 |
Examination | Examination | 67 (67) | 18 |
Písemná zkouška | Written examination | 50 | 18 |
Ústní zkouška | Oral examination | 17 | 0 |