Course: Spatial modelling

« Back
Course title Spatial modelling
Course code KGI/PROMO
Organizational form of instruction Lecture + Exercise
Level of course Master
Year of study 1
Semester Winter
Number of ECTS credits 4
Language of instruction Czech
Status of course Compulsory
Form of instruction Face-to-face
Work placements This is not an internship
Recommended optional programme components None
Lecturer(s)
  • Brus Jan, RNDr. Ph.D.
Course content
The course provides basic concepts of modelling and simulation using spatial data in the environment of geographic information systems. All aspects of the modeling of geographical phenomena are taught first on a theoretical level and then demonstrated on selected tasks. The exercises are designed as discussion forums on case studies in GIS. Emphasis is placed on analytical thinking, specialized software tools and extensions. 1. Approaches to spatial modelling 2. Systems theory, feedback 3. Classification of models 4. Modelling procedure 5. Quality of spatial data 6. The concept of uncertainty in GIScience 7. Modelling and simulation of complex systems 8. Cellular automata, Markov chains 9. Agent-based spatial modelling 10. Spatio-temporal modelling, TemporalGIS 11. Use of spatial modelling in geosciences

Learning activities and teaching methods
Lecture, Demonstration
Learning outcomes
The aim of the course is to acquaint students with the issue of spatial modelling in geosciences.
The course is aimed at acquiring knowledge, define the main concepts, describe the main approaches, and demonstrate theoretical knowledge for solving model problems.
Prerequisites
Knowledge of topics within the content of the course.

Assessment methods and criteria
Mark, Oral exam, Written exam, Seminar Work

The knowledge of topics within the content of the course.
Recommended literature
  • Brus, J., Pechanec, V. The User Centered Framework for Visualization of Spatial Data Quality.
  • Guptill, S. C., Morrison, J. L. (2013). Elements of Spatial Data Quality.
  • Kraak, M. J. Mapping time: Illustrated by Minard's map of Napoleon's Russian campaign of 1812.
  • Langlois, P. (2013). Simulation of Complex Systems in GIS.
  • Longley, P. A., Goodchild, M. F., Maguire, D. J., & Rhind, D. W. (2015). Geographic information science and systems. John Wiley & Sons. ? Smith, M., J., Goodchild, M. F., & Longley, P. (2018). Geospatial analysis: A comprehensive guide to principles, techniques and software tools.
  • Longley, P. A., Goodchild, M. F., Maguire, D. J., Rhind, D. M. (2015). Geographic Information Systems and Science, 4th edition. London: Wiley&Sons.
  • Wilensky, U., Rand, W. (2015). An introduction to agent-based modeling: modeling natural, social, and engineered complex systems with NetLogo. The MITT Press.


Study plans that include the course
Faculty Study plan (Version) Category of Branch/Specialization Recommended year of study Recommended semester
Faculty: Faculty of Science Study plan (Version): Geoinformatics and Cartography (2020) Category: Geography courses 1 Recommended year of study:1, Recommended semester: Winter