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Lecturer(s)
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Macků Karel, Mgr. Ph.D.
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Pechanec Vilém, prof. RNDr. Ph.D.
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Course content
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The aim of the course is to introduce students to enterprise geoinformation technologies. The introductory part focuses on spatial databases, their components, architecture, implementation and benefits of deployment. The following areas are interoperability issues in GIT and an analysis of the key formats of XML and its derivatives and Geo(JSON) language. The lecture focuses on basic research of these technologies. Standards for data transfer, storage and filtering are discussed, as well as the possibility of integration with GIT. L1-Lecture: Distributed Environment and Spatial Database Concepts L2-lecture: Spatial SQL L3-Lecture: Geometric Object Model / Data Storage Standards for Spatial Databases L4-Lecture: Spatial Operations and Indexes L5-Lecture: Implementation at the level of non-commercial solutions L6-lecture: Implementation at the level of commercial solutions L7-lecture: Replication and synchronization of spatial databases L8-Lecture: Interoperability in GIT, OGC standards L9-lecture: XML L10-Lecture: XML Applications L11-lecture: GML and its extensions L12-lecture: (Geo)JSON and its extensions, Geopackage and other standards
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Learning activities and teaching methods
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Monologic Lecture(Interpretation, Training), Dialogic Lecture (Discussion, Dialog, Brainstorming), Demonstration
- Attendace
- 6 hours per semester
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Learning outcomes
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The course aims to introduce students to enterprise geoinformation technologies. The introductory part focuses on spatial databases, their components, architecture, implementation and deployment benefits. The following areas are interoperability issues in GIT and an analysis of the critical formats of XML and its derivatives and Geo(JSON) language. The lecture focuses on fundamental research of these technologies. Data transfer, storage and filtering standards are discussed, as well as the possibility of integration with GIT.
The course focuses on the acquisition of knowledge. Define key terms, describe the main approaches to demonstrate theoretical knowledge for solving of problems.
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Prerequisites
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Good knowledge of IT and GIT at the bachelor's degree.
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Assessment methods and criteria
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Written exam, Seminar Work
Student has to prove the knowledge of the subject topics.
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Recommended literature
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KRESSE, Wolfgang a Kian FADAIE. (2004). ISO Standards for Geographic Information. Germany: Springer-Verlag Berlin Heidelberg.
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Longley, Paul A., Sue M. Brooks, Rachael McDonnell, and Bill MacMillan. (1998). Geocomputation: A Primer. 1 edition. Chichester.
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Longley, Paul et al. (2016). Geografické informace: systémy a věda. 1. české vydání.. Olomouc: Univerzita Palackého v Olomouci.
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Obe, R.O., Hsu, L. S. (2015). PostGIS in Action Second ed.. Manning publications.
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Rigaux, P., Scholl, M., Voisard, A. (2001). Spatial Databases. With Application to GIS..
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Shekhar, S., Xiong, H., Zhou, X. (Eds.). (2017). Encyclopedia of GIS, 2. vydání. Springer.
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