Z8311 3D visualisation and modelling in cartography

Faculty of Science
Spring 2022
Extent and Intensity
1/2/0. 5 credit(s). Type of Completion: zk (examination).
Teacher(s)
doc. Mgr. Bc. Zdeněk Stachoň, Ph.D. (lecturer)
RNDr. Lukáš Herman, Ph.D. (lecturer)
Mgr. et Mgr. Pavel Ugwitz, Ph.D. (seminar tutor)
Guaranteed by
doc. Mgr. Bc. Zdeněk Stachoň, Ph.D.
Department of Geography – Earth Sciences Section – Faculty of Science
Contact Person: doc. Mgr. Bc. Zdeněk Stachoň, Ph.D.
Supplier department: Department of Geography – Earth Sciences Section – Faculty of Science
Timetable
Tue 12:00–12:50 Z2,01032
  • Timetable of Seminar Groups:
Z8311/01: Tue 13:00–14:50 Z1,01001b, L. Herman, P. Ugwitz
Prerequisites
Basic awareness of the principles and methods of cartography and geoinformatics.
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: 0/20
fields of study / plans the course is directly associated with
Course objectives
The course is focused on the extension of cartographic knowledge about 3D data visualization and modelling (e.g. data formats and its parameters, 3D analysis, simulations etc.). The main focus is devoted to the practical aspects.
Learning outcomes
- Students will understand the specifics, advantages and limitations of using 3D data in geoinformatics and cartography. - Students will be able to create, process and visualize 3D spatial data.
Syllabus
  • Lessons: 1. Introduction; 2. 3D data models; 3. 3D data standards and formats; 4. 3D data gathering; 5. 2,5 and 3D surfaces; 6. Available 3D data sources; 7. 3D spatial analysis; 8. 3D visualization on the web; 9. Applications and usage of 3D models 10. Basic principles of Virtual environments; 11. Actual trends (user testing, indoor 3D modelling, …) Practical lessons: 1. 3D vector data and their processing; 2. Storage and conversion of 3D data; 3. TIN and GRID surfaces; 4. 3D spatial analysis (e.g. visibility analysis); 5. Creation of detailed (phot-realistic) model in 3D graphic software; 6. 3D symbols, textures; 7. Visualization and animations; 8. Creation of interactive 3D model for web; 9. 3D modelling from photos.
Literature
  • Advances in 3D geo-information sciences. Edited by Thomas H. Kolbe - Gerhard König - Claus Nagel. Berlin: Springer, 2011, xiv, 294. ISBN 9783642126697. info
  • LAVALLE, Steven M. Virtual Reality. Cambridge: Cambridge University Press, 2019. 430 s. http://vr.cs.uiuc.edu
Teaching methods
Lectures and practical lessons.
Assessment methods
Oral exam
Language of instruction
Czech
Further Comments
Study Materials
The course is taught once in two years.
The course is also listed under the following terms Spring 2014, Spring 2015, Spring 2016, spring 2018, Spring 2020, Spring 2024.
  • Enrolment Statistics (Spring 2022, recent)
  • Permalink: https://is.muni.cz/course/sci/spring2022/Z8311