548-0080/04 – Spatial Databases (PDB)
Gurantor department | Department of Geoinformatics | Credits | 5 |
Subject guarantor | prof. Ing. Jiří Horák, Dr. | Subject version guarantor | prof. Ing. Jiří Horák, Dr. |
Study level | undergraduate or graduate | Requirement | Compulsory |
Year | 1 | Semester | summer |
| | Study language | English |
Year of introduction | 2016/2017 | Year of cancellation | 2022/2023 |
Intended for the faculties | HGF | Intended for study types | Follow-up Master |
Subject aims expressed by acquired skills and competences
The aim of the subject is to educate students how to create databases for spatial data and utilise DBMS, namely spatial extension of SQL for solving of different spatial tasks. Spatial operation are provided in the environment of large object-related database systems.
Teaching methods
Lectures
Tutorials
Summary
The course explains an architecture, concepts and SQL in OR DBMS such as Oracle or PostgreSQL+PostGIS, methods of spatial data storage in the database environment, conceptual models, spatial indeces, usage of spatial functions in SQL and implementation in the selected database environments.
Compulsory literature:
Recommended literature:
Additional study materials
Way of continuous check of knowledge in the course of semester
Students are asked about knowledge from areas that they should have already known from previous lectures. Students also work on individual tasks. Tasks are frequently based on understanding of previous, simpler tasks. Student must pass writing and oral exam.
E-learning
Other requirements
No additional requirements are imposed on the student.
Prerequisities
Subject has no prerequisities.
Co-requisities
Subject has no co-requisities.
Subject syllabus:
Spatial databases – concepts. Data administration in R and OR DBMS. Client-server processes. Extension of SQL. Geometrical data types. SQL/MM:1999. OGC Simple Feature Specification. Conceptual modelling of spatial objects. Integrity constraints for spatial data, multirepresentation. Storing and indexing of spatial data stored in databases. Spatial queries. Storage of raster data. Spatial data mining.
Conditions for subject completion
Occurrence in study plans
Occurrence in special blocks
Assessment of instruction