548-0921/03 – Spatial Databases (PDB)

Gurantor departmentDepartment of GeoinformaticsCredits10
Subject guarantordoc. Ing. Jiří Horák, Dr.Subject version guarantordoc. Ing. Jiří Horák, Dr.
Study levelpostgraduateRequirementChoice-compulsory
YearSemesterwinter + summer
Study languageEnglish
Year of introduction2017/2018Year of cancellation
Intended for the facultiesHGF, FEIIntended for study typesDoctoral
Instruction secured by
LoginNameTuitorTeacher giving lectures
HOR10 doc. Ing. Jiří Horák, Dr.
Extent of instruction for forms of study
Form of studyWay of compl.Extent
Full-time Examination 20+0
Part-time Examination 20+0

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 for solving of different spatial tasks.

Teaching methods

Individual consultations
Project work

Summary

Data administration in RDBMS and ORDBMS. Client-server processes. Extension of SQL. Geometrical data types. SQL/MM:1999. OGC Simple Feature Specification. Storing and indexing of spatial data stored in databases. Spatial queries. Spatial trajectories. Data mining and pattern. Transaction, distributed processing.

Compulsory literature:

Yeung A.K.W, Hall G.B: Spatial Database Systems. Desing, Implementation and Project Management. Springer, Dordrecht, 2007. ISBN 10-1-4020-5393-2. 553 pages.

Recommended literature:

Manolopoulos Y., Papadopoulos, Vassilakopoulos M.: Spatial Databases: Technologies, Techniques, Trends. Idea Group Publishing. 340 stran, Hershey, 2005. ISBN 1-59140-387-1. Adam Nabil R., Gangopadhyay Aryya: Database Issues in Geographic Information Systems. Kluwer, 2.vydání, 1998. Rigaux P., Scholl M., Voisard A.: Spatial Databases with Application to GIS. Kaufmann, San Francisco, 2002. ISBN 1-55860-588-6. 410 pages.

Way of continuous check of knowledge in the course of semester

E-learning

Classic teaching methods (lesson, practice) are completed with tests and indepedent work. The emphasize is given to the ability to defend proposed solution and critically evaluate different alternatives.

Other requirements

No additional requirements.

Prerequisities

Subject has no prerequisities.

Co-requisities

Subject has no co-requisities.

Subject syllabus:

Data administration in RDBMS and ORDBMS. Client-server processes. Extension of SQL. Geometrical data types. SQL/MM:1999. OGC Simple Feature Specification. Storing and indexing of spatial data stored in databases. Spatial queries. Spatial trajectories. Data mining and pattern. Transaction, distributed processing.

Conditions for subject completion

Full-time form (validity from: 2017/2018 Winter semester)
Task nameType of taskMax. number of points
(act. for subtasks)
Min. number of points
Examination Examination  
Mandatory attendence parzicipation:

Show history

Occurrence in study plans

Academic yearProgrammeField of studySpec.ZaměřeníFormStudy language Tut. centreYearWSType of duty
2020/2021 (P3657) Geodesy, Cartography and Geoinformatics (3602V002) Geoinformatics P English Ostrava Choice-compulsory study plan
2019/2020 (P3657) Geodesy, Cartography and Geoinformatics (3602V002) Geoinformatics P English Ostrava Choice-compulsory study plan
2018/2019 (P3657) Geodesy, Cartography and Geoinformatics (3602V002) Geoinformatics P English Ostrava Choice-compulsory study plan
2017/2018 (P3657) Geodesy, Cartography and Geoinformatics (3602V002) Geoinformatics P English Ostrava Choice-compulsory study plan

Occurrence in special blocks

Block nameAcademic yearForm of studyStudy language YearWSType of blockBlock owner