Environmental Informatics - MO550P83E
Title: Environmental Informatics
Guaranteed by: Institute for Environmental Studies (31-550)
Faculty: Faculty of Science
Actual: from 2024
Semester: summer
E-Credits: 3
Examination process: summer s.:
Hours per week, examination: summer s.:0/2, MC [HT]
Capacity: 33
Min. number of students: unlimited
4EU+: no
Virtual mobility / capacity: no
State of the course: taught
Language: English
Additional information: https://dl2.cuni.cz/course/view.php?id=1688
Note: enabled for web enrollment
Guarantor: Ing. Luboš Matějíček, Ph.D.
Opinion survey results   Examination dates   
Annotation -
The lecture is focused on advanced methods of computer processing of spatially bound information using GIS, DPZ, GPS, statistical programs and modeling tools for solving dynamic models of material and energy flows. For students of natural sciences, it is a basic subject, which is followed by other thematically focused elective lectures, exercises and seminars. The presentation of individual approaches to data processing is based on methodological materials of ESRI (Environmental Systems Research Institute) and specialist foreign literature. The lecture is conducted in the form of a presentation of individual methods with computer demonstrations of selected tasks, which are further processed by students as part of exercises. The lecture and exercise are also available in the MOODLE system to support face-to-face and distance learning through online courses available on the WWW (lecture and exercise are offered in Czech or English).
Last update: Matějíček Luboš, Ing., Ph.D. (14.03.2024)
Literature -

Mitchell, A. The ESRI Guide to GIS Analysis. ESRI, Redlands, 1999.

Zeiler, M. Modeling Our World. The ESRI Guide to Geodatabase Design. ESRI, Redlands, 1999.

Goodchild, M. GIS and Environmental Modeling: Progress and Research Issues. John Wiley&Sons, New York, 1996.

Aronoff, S. Remote Sensing for GIS Managers. ESRI, Redlands, 2005.

Cooke, D. Fun with GPS. ESRI, Redlands, 2005.

Last update: Matějíček Luboš, Ing., Ph.D. (14.03.2024)
Requirements to the exam -

Subject MO550P83E Environmental Informatics is taught in attendance form or, in justifiable cases, by distance learning. Presentations of lectures and demo exercises are available on MOODLE https://dl2.cuni.cz/course/view.php?id=1688 in PDF format.

To be awarded credit, demo tasks must be completed and, in case of absence from the exercise, the required results must be submitted for review in MOODLE by the end of the grading period. The task is completed when you get more than 50 points in the range of 0 to 100. The recommended submission deadline is the next exercise.

The final classification will be based on your report on the selected scientific paper, which you will choose and prepare according to the attached template. The topic of the selected scientific paper should be related to environmental informatics and your research background. The template and examples of already submitted reports are available in MOODLE.

Last update: Matějíček Luboš, Ing., Ph.D. (14.03.2024)
Syllabus -

1. Basic data formats focused on raster data, vector data, irregular triangulated networks and attributes of spatial objects in relation to living environment.
2. Basic procedures for data acquisition, processing and display of spatially related data, creation of thematic maps, visualization methods of spatial objects.
3. Processing of raster data, calculation focused on terrain morphology, using of raster algebra, spatial optimization tasks.
4. Processing of vector data, spatial interactions, using of set operations, selection procedures and interpretation of physical-chemical variables.
5. Processing of triangulated irregular networks and their using in the framework of digital terrain model construction, display of physical-chemical variables.
6. Interpolation of spatial related variables with deterministic techniques (IDW, spline) and geostatistical methods (kriging), integration in the framework of thematic maps.
7. Construction of network models, route optimization, optimization of spatial object accessibility.
8. Basic methods of digital spatial data acquisition focused on digitization of paper maps, aerial and satellite images, development of spatial database, sharing data through the Internet.
9. Advanced methods of spatial data processing focused on display with thematic maps and 3D visualization.
10. Presentation of projects through the Internet, display methods based on spatial search functions.
11. Introduction to GPS, estimation of the positional accuracy, basic methods for data processing and data integration, sharing of physical-chemical variables
12. Introduction to remote sensing, an overview of available data sources, basic methods of image processing and image classifications.
13. Using of CAD for spatial data processing and visualization, examples of spatial models of urban areas with visualization of data focused on living environment.
14. Examples of the projects focused on processing data about living environment.

Last update: Matějíček Luboš, Ing., Ph.D. (14.03.2024)