Z8818 Applied Geoinformatics

Faculty of Science
Spring 2025
Extent and Intensity
1/2/0. 5 credit(s). Type of Completion: zk (examination).
In-person direct teaching
Teacher(s)
prof. RNDr. Tomáš Řezník, Ph.D. (lecturer)
Guaranteed by
prof. RNDr. Tomáš Řezník, Ph.D.
Department of Geography – Earth Sciences Section – Faculty of Science
Contact Person: prof. RNDr. Tomáš Řezník, Ph.D.
Supplier department: Department of Geography – Earth Sciences Section – Faculty of Science
Course Enrolment Limitations
The course is only offered to the students of the study fields the course is directly associated with.

The capacity limit for the course is 20 student(s).
Current registration and enrolment status: enrolled: 0/20, only registered: 11/20
fields of study / plans the course is directly associated with
there are 6 fields of study the course is directly associated with, display
Course objectives
Main objectives can be summarized as follows: to broaden student's GIS knowledge on practical applications in selected geographical disciplines. The subject is focused on physical geography. Main topics are as follows: data sources, spatial data formats, digital terrain modelling, GIS analysis with vector and raster (grid) data. At the end of the course student should be able to understand basic methods of geoinformatics explained in individual lectures. He/she would be able to explain when to apply individual methods and make reasoned decisions about preconditions that are necessary for proper utilization of methods in physical geography. He/she would be able to work with information on data preparation, make deductions based on acquired knowledge concerning application of methods and properly interpret results.
Learning outcomes
Outputs from the learning process comprise competences of critical evaluation of analytical and synthetical geospatial methods applicability as well as interpretations of geospatial analyses results.
Syllabus
  • 1. Sources of spatial data for physical geography
  • 2. Data types and formats, import, data conversion
  • 3. Analog to digital data transfer
  • 4. Basics of GIS, connection of spatial and descriptive attributes, data querying
  • 5. Simple calculations on vector data in GIS, overlay map algebra
  • 6. Digital terrain modelling (DTM)
  • 7. Spatial interpolation in ArcMap, Thiessen polygons
  • 8. DTM derivates, terrain analysis
  • 9. Hillshading, terrain profiles
  • 10. 3D vizualization, data animation (ArcScene)
  • 11. Raster modelling, basics of map algebra
  • 12. Hydrological modelling basics
Literature
  • TUČEK, Ján. Geografické informační systémy : principy a praxe. Vyd. 1. Praha: Computer Press, 1998, xiv., 364. ISBN 807226091X. info
  • DEMERS, Michael N. GIS modeling in raster. New York: John Wiley & Sons, 2002, xi, 203. ISBN 0471319651. info
  • Wilson, J., P., Gallant, J., C., (2000): Terrain Analysis: Principles and Applications. John Wiley and Sons, Inc. New York, 512s.
  • BRIMICOMBE, Allan. Gis, environmental modelling and engineering. 1st ed. London: Taylor & Francis, 2003, 312 s. ISBN 0-415-25923-1. info
Teaching methods
Lectures explaining basic terms from geoinformatics, spatial analysis and digital cartography and presenting individual examples step by step. Practical training based on 11 exercises that are solved using GIS and software for spatial analysis.
Assessment methods
Elaboration of all practical excercises, successful oral examination of theory and an exam in the form of practical test are the conditions for passing the course.
Language of instruction
Czech
Further comments (probably available only in Czech)
The course is taught annually.
The course is taught: every week.
The course is also listed under the following terms Spring 2008 - for the purpose of the accreditation, Spring 2011 - only for the accreditation, Spring 2008, Spring 2009, Spring 2010, Spring 2011, Spring 2012, spring 2012 - acreditation, Spring 2013, Spring 2014, Spring 2015, Spring 2016, Spring 2017, spring 2018, Spring 2019, Spring 2020, Spring 2021, Spring 2022, Spring 2023, Spring 2024.
  • Enrolment Statistics (recent)
  • Permalink: https://is.muni.cz/course/sci/spring2025/Z8818