460-4109/01 – Geographic Information Systems (GIS)
| Gurantor department | Department of Computer Science | Credits | 4 |
| Subject guarantor | Ing. Jan Gaura, Ph.D. | Subject version guarantor | Ing. Jan Gaura, Ph.D. |
| Study level | undergraduate or graduate | Requirement | Optional |
| Year | 2 | Semester | summer |
| | Study language | Czech |
| Year of introduction | 2015/2016 | Year of cancellation | |
| Intended for the faculties | FEI | Intended for study types | Follow-up Master |
Subject aims expressed by acquired skills and competences
After passing the course, student will be able to process spatial data and will be able to be familiar in basic tasks connected to the area of geographic information systems. The student will learn how to acquire, analyze, and present data. The student will know methods of spatial data analysis on current problems from areas of remote sensing, traffic, and government.
Teaching methods
Lectures
Tutorials
Summary
Geographic Information Systems (GIS) represent area that is widely used in many present applications. The aim of the course is to get familiar with methods of obtaining, processing, and analyzing data in GIS. Techniques of processing the most common types of spatial data, analytical tools and techniques of their analysis, and not least ways to visualize in GIS will be introduced. Raw data processing will be shown following their analysis, storing, and final visualization to the end user. The course will also handle techniques to visualize data on the Internet.
Compulsory literature:
1. Chang, K., T.: Introduction to Geographic Information Systems, 7th edition, McGraw-Hill; ISBN-10: 0077805402, ISBN-13: 978-00778054012013, 2013
2. Bolstad, P.: GIS Fundamentals: A First Text on Geographic Information Systems, 4th edition, Eider Press, ISBN-10: 0971764735, ISBN-13: 978-0971764736, 2012
3. Longley, P., A., Goodchild, M., Maguire, D. J., Rhind, D., W.: Geographic Information Systems and Science, 3rd edition, Wiley, ISBN-10: 0470721448, ISBN-13: 978-0470721445, 2010
Recommended literature:
1. Liu, J., G., Masson, P., J.: Essential Image Processing and GIS for Remote Sensing, Wiley-Blackwell, 2009
2. Worboys, M., Duckham, M.: GIS: A Computing Perspective, CRC, 2004
3. Laurini, R., Thompson, D.: Fundamentals of Spatial Information Systems, Academic Press, 1992
4. Burrough, P., McDonnell, R.: Principles of Geographical Information Systems, Oxford University Press, 1998
5. Samet, H.: Design and Analysis of Spatial Data Structures, Addison-Wesley, 1990
Additional study materials
Way of continuous check of knowledge in the course of semester
Conditions for credit:
Completing tasks from exercises.
Exam:
Written exam with a series of open questions.
E-learning
Other requirements
Additional requirements are not placed on the student.
Prerequisities
Subject has no prerequisities.
Co-requisities
Subject has no co-requisities.
Subject syllabus:
Lectures:
- Basics of GIS, concepts and history of GIS, coordinate systems, transformations between coordinate systems, commonly used Czech and worldwide systems.
- Representation of spatial data, spatial models.
- Raster representation of spatial data (pixel, voxel, TIN, quadtree).
- Vector representation of spatial data (planar map, algorithms to operate planar map).
- Algorithms for vector data management (planning, computing a shortest path).
- Methods of remote sensing of Earth, presentation of active and passive systems.
- Geocoding and georeferencing algorithms.
- Working with spatial data in relational database (Spatial SQL).
- Visualization of geographic data (3D visualization, visualization on the Internet).
- Global positioning systems (GPS, GLONASS, Galileo), technical implementations, usage and applications.
Labs:
- LIDAR data processing. Raw data extraction.
- LIDAR data processing. Preparation for visualization.
- Extracting points for georeferencing in LIDAR data.
- Merging of LIDAR and secondary data.
- Shortest path in a traffic network.
- Working with spatial data in relational database (Spatial SQL).
- Visualization of spatial data and operations on data stored in relational database using QGIS.
- Visualization of spatial data on the Internet. Preparation of database and data transform.
- Creation of a simple application on the Internet.
Conditions for subject completion
Occurrence in study plans
Occurrence in special blocks
Assessment of instruction