PřF:Z8210 Spatial data infrastructures - Course Information
Z8210 Introduction to spatial data infrastructures in EuropeFaculty of Science
- Extent and Intensity
- 2/0. 4 credit(s). Type of Completion: k (colloquium).
- doc. RNDr. Tomáš Řezník, Ph.D. (lecturer)
- Guaranteed by
- prof. RNDr. Rudolf Brázdil, DrSc.
Department of Geography - Earth Sciences Section - Faculty of Science
Contact Person: doc. RNDr. Tomáš Řezník, Ph.D.
Supplier department: Department of Geography - Earth Sciences Section - Faculty of Science
- Mon 17. 9. to Fri 14. 12. Tue 8:00–9:50 Z4,02028
- Prerequisites (in Czech)
- PROGRAM ( N - GK ) || PROGRAM ( D - GR4 ) || PROGRAM ( KOS )
- 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 30 student(s).
Current registration and enrolment status: enrolled: 15/30, only registered: 0/30
- Fields of study the course is directly associated with
- there are 8 fields of study the course is directly associated with, display
- Course objectives
- A student should be able at the end of this course to: - understand and explain the principles of spatial data infrastructures in general as well as describe its components; - effectively search for spatial data and Web services based on the top of spatial data; - read the application schemas for spatial data in Unified Modelling Language (UML); - create and use map compositions in the Web environement; - apply the discovery, view and download processes on the level of the European spatial data infrastructures; - present and discuss an issue related to the European spatial data infrastructures.
- Learning outcomes
- he graduate is capable to understand to spatial data and services integration based on the spatial data infrastructures concept, discover relevant spatial data and services, download them and visualize.
- 1. Motivations and benefits of the European spatial data infrastructures (ESDI).
- 2. Metadata as the founding stone for linking between ESDI components.
- 3. Discovery processes, searching for spatial data and Web services.
- 4. View processes, preview of discovered spatial data.
- 5. Download processes, ordering and download of desired data.
- 6. Data models, understanding the UML diagrams and other formalised descriptions.
- 7. Map comppositions on the Web, OGC Web Map Context.
- 8. Data sharing, use limitations and other licensing issues.
- required literature
- CRAGLIA, M. et al. 2012. Digital Earth 2020: towards the vision for the next decade. In International Journal of Digital Earth, Volume 5, Issue 1. 20 pages.
- NOGUERAS-ISO, Javier, Pedro R. MURO-MEDRANO and F. Javier ZARAZAGA-SORIA. Geographic information metadata for spatial data infrastructures : resources, interoperability and information retrieval. 1st ed. New York: Springer, 2005. xxi, 263. ISBN 3540244646. info
- recommended literature
- ANNONI, A., M. CRAGLIA, M. EHLERS, Y. GEORGIADOU, A. GIACOMELLI, Milan KONEČNÝ, N. OSTLAENDER, G. REMETEY-FULOPP, D. RHIND, P. SMITS and S. SCHADE. A European perspective on Digital Earth. International Journal of Digital Earth, Abingdon, Oxon, UK: Taylor and Francis, 2011, July 2011, 4/4, p. 271-284. ISSN 1753-8947. doi:10.1080/17538947.2011.582888. info
- UML modeling languages and applications : UML 2004 Satellite Activities, Lisbon, Portugal, October 11-15, 2004 : revised selected papers. Edited by Nuno Jardim Nunes. 1st ed. New York, NY: Springer-Verlag Berlin Heidelberg, 2005. xiv, 294. ISBN 3540250816. info
- KAMBA, Vladimír. Tvorba systémů a komponent podle specifikace UML. Brno, 2002. 61 s. + CD. info
- Teaching methods
- initial lectures combined with the following class discussion, each student will present one topic (from the list advertised by the teacher) during the course
- Assessment methods
- The overall assessment consists of two parts: - assessment of student's presentation; - assessment of student's activity during discussion throughout the semester.
- Language of instruction
- Further Comments
- Study Materials
The course is taught once in two years.
- Enrolment Statistics (recent)
- Permalink: https://is.muni.cz/course/sci/autumn2018/Z8210