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.
Annotation
The lecture is primarily focused on computer processing of spatially related information. For the students of natural science, the lecture sums up the introductory course that is extended by other optional lectures, exercises and seminars.
Presentations of individual aspects of data processing are based on the ESRI (Environmental Systems Research Institute) guidebooks. The lecture contains computer presentations of selected exercises, which are consecutively processed by students in the framework of exercises.