| Spatial and Spatio-temporal Databases [2020 SoSe] | ||
|---|---|---|
| Code ISTDB |
Name Spatial and Spatio-temporal Databases |
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| LP 8 LP |
Dauer one semester |
Angebotsturnus every 2nd to 3rd winter semester |
| Format Lecture 4 SWS + Exercise course 2 SWS |
Arbeitsaufwand 240 h; thereof 90 h lecture 20 h preparation for exam 130 h self-study and working on assignments/projects (optionally in groups) |
Verwendbarkeit B.Sc. Angewandte Informatik, M.Sc. Angewandte Informatik, M.Sc. Scientific Computing |
| Sprache |
Lehrende |
Prüfungsschema |
| Lernziele | Students - have a solid understanding of concepts, models, and techniques underlying the modeling, management, processing, and querying of diverse types of spatial and spatio-temporal data - know important spatial and spatio-temporal indexing structures - can employ core algorithmic frameworks for processing spatial and spatio-temporal queries - can apply key algorithms adopted from computational geometry - can apply suitable data management techniques using systems such as PostgreSQL or PostGIS |
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| Lerninhalte | - Principles and requirements of managing spatial data - Application domains of managing and analyzing spatial data Support of managing spatial data using commercial and open-source DBMS - Concepts and methods for representing spatial data in 2d and 3d; tessellation and vector models, groups of spatial objects, abstract data types for spatial data - Fundamentals of computational geometry (e.g., convex hull, sweep-line techniques, polygon partitioning, cut of polygons) - Access structures for spatial data, in particular grid-files, kd-tree, quad-tress, and R-trees - Algorithms and cost models for using spatial index structures - Principles of spatial query processing and optimization, in particular spatial join techniques - Spatio-temporal databases and index structures - Moving objects: applications, querying, and index structures - Introduction to mining spatio-temporal data |
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| Teilnahme- voraus- setzungen |
recommended are: Algorithmen und Datenstrukturen (IAD), Datenbanken (IDB) | |
| Vergabe der LP und Modulendnote | Bestehen der Modulprüfung | |
| Nützliche Literatur | - Philippe Rigaux, Michel Scholl, Agnes Voisard: Spatial Databases – With Applications to GIS. Morgan Kaufmann, 2001. - Mark de Berg, Otfried Cheong, Marc van Kreveld, and Mark Overmars: Computational Geometry: Algorithms and Applications Springer, Berlin, 2008. - Xiaofeng Meng,? Zhiming Ding,? Jiajie Xu: Moving Objects Management: Models, Techniques and Applications. Springer, 2016. |
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