Course: Spatial Databases

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Course title Spatial Databases
Course code KGM/PDB-E
Organizational form of instruction Lecture + Tutorial
Level of course Master
Year of study not specified
Semester Winter
Number of ECTS credits 4
Language of instruction English
Status of course unspecified
Form of instruction Face-to-face
Work placements This is not an internship
Recommended optional programme components None
Course availability The course is available to visiting students
Lecturer(s)
  • Janečka Karel, Doc. Ing. Ph.D.
  • Jedlička Karel, Ing. Ph.D.
Course content
1. Introduction to spatial databases. Definition of the main terms. 2. Spatial data representation formats. 3. Query language for spatial data. 4. Modelling of spatial data with constraints. 5. Algorithms of spatial databases. 6. Data structures for spatial data indexing. 7. Spatial queries and spatial join. 8. Commercial and open source solutions for spatial data handling.

Learning activities and teaching methods
  • Contact hours - 39 hours per semester
  • Individual project (40) - 40 hours per semester
  • Preparation for an examination (30-60) - 30 hours per semester
  • Presentation preparation (report) (1-10) - 1 hour per semester
prerequisite
Knowledge
to describe the possibilities of representations of geographical data in the digital form
to describe the basic database objects of relational databases
to describe the differences between a conceptual, a logical and a physical data model
Skills
to write a simple SQL DML query
to propose a conceptual, a logical and a physical data model of the relational database
Competences
N/A
learning outcomes
Knowledge
to describe the basic differences between a relational- and a spatial- database
to characterise the basic properties of a data model for spatial data according to the ISO 19125
to explain the principles of selected data structures for spatial data indexing
to propose a usage of an appropriate algorithm for selected task from the field of spatial databases
to explain the principles of a spatial join
Skills
to propose a conceptual and a logical data model for storage of spatial data
to describe the proposed data model by the means of UML
to propose the suitable spatial data types for a physical data model
to implement the physical data model in selected database managament system with a spatial option (Oracle Spatial, PostGIS, ESRI Geodatabase)
Competences
N/A
teaching methods
Knowledge
Lecture supplemented with a discussion
Task-based study method
Skills demonstration
Collaborative instruction
Individual study
Students' portfolio
One-to-One tutorial
Discussion
Skills
Lecture
Lecture with visual aids
Practicum
Task-based study method
Textual studies
Skills demonstration
Students' portfolio
Collaborative instruction
One-to-One tutorial
Discussion
Individual study
Competences
Textual studies
Task-based study method
Individual study
Students' portfolio
Discussion
assessment methods
Knowledge
Seminar work
Individual presentation at a seminar
Written exam
Practical exam
Oral exam
Skills
Seminar work
Individual presentation at a seminar
Oral exam
Written exam
Practical exam
Competences
Seminar work
Individual presentation at a seminar
Written exam
Practical exam
Oral exam
Recommended literature
  • Beinat, Euro; Godfrind, Albert; Kothuri V, Ravikanth. Pro Oracle Spatial. Apress, 2004. ISBN 1-59059-383-9.
  • Rigaux, Philippe; Scholl, Michel; Voisard, Agn?s. Spatial databases : with applications to GIS. San Francisco : Morgan Kaufmann Publishers, 2002. ISBN 1-55860-588-6.
  • Shekhar, Shashi; Chawla, Sanjay. Spatial databases : a tour. Upper Saddle River : Prentice Hall, 2003. ISBN 0-13-017480-7.
  • Tuček, Ján. Geografické informační systémy : pricipy a praxe. 1. vyd. Praha : Computer Press, 1998. ISBN 80-7226-091-X.


Study plans that include the course
Faculty Study plan (Version) Category of Branch/Specialization Recommended year of study Recommended semester