ZA332 Introduction to spatial data infrastructures in Europe

Faculty of Science
Autumn 2024
Extent and Intensity
2/0/0. 3 credit(s). Type of Completion: k (colloquium).
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
Supplier department: Department of Geography – Earth Sciences Section – Faculty of Science
Timetable
Mon 14:00–15:50 Z2,01032
Prerequisites
This course is intended for both GIS laypeople and GIS professionals.
Course Enrolment Limitations
The course is only offered to the students of the study fields the course is directly associated with.
fields of study / plans the course is directly associated with
Course objectives
A student should be able at the end of this course the following. (1) Understand and explain the principles of spatial data infrastructures in general and describe their components. (2) Effectively search for spatial data and Web services based on the top of spatial data. (3) Read the application schemas for spatial data in Unified Modelling Language (UML). (4) Create and use map compositions in the Web environment; (5) Apply the discovery, view and download processes in the European spatial data infrastructures. (6) Present and discuss an issue related to the European spatial data infrastructures.
Learning outcomes
The graduate can understand spatial data and services integration based on the spatial data infrastructures concept, discover relevant spatial data and services, download them, and visualise them.
Syllabus
  • 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, a preview of discovered spatial data. 5. Download processes, ordering and downloading of desired data. 6. Data models, understanding the UML diagrams and other formalised descriptions. 7. Map compositions on the Web, OGC Web Map Context. 8. Data sharing, use limitations and other licensing issues.
Literature
    required literature
  • http://inspire.ec.europa.eu
  • 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, 95 p. ISSN 1753-8947. Available from: https://dx.doi.org/10.1080/17538947.2011.582888. info
  • 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
  • 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. info
Teaching methods
Initial lectures are 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 comprises three parts: (1) An evaluation of the student's presentation. (2) An evaluation of the student's activity during discussion throughout the semester. (3) An evaluation of the student's activity during the concluding colloquium.
Language of instruction
English
Further comments (probably available only in Czech)
Study Materials
The course is taught once in two years.
Teacher's information
Any other relevant information applies.
  • Enrolment Statistics (recent)
  • Permalink: https://is.muni.cz/course/sci/autumn2024/ZA332