Lectures:
1. Basics of GIS, concepts and history of GIS, list of sciences about Earth.
2. Cartography, coordinate systems, transformations between coordinate systems, commonly used Czech and worldwide systems.
3. Representation of spatial data, spatial models.
4. Raster representation of spatial data.
5. Vector representation of spatial data.
6. Obtaining data, sources of geodetic data. Processing and application of primary and secondary spatial data.
7. Visualization of geographic data.
8. Spatial data representation in relational database (Spatial SQL).
9. Methods of remote sensing of Earth, presentation of active and passive systems.
10. Global positioning systems (GPS, GLONASS, Galileo), technical implementations, usage and applications.
Projects:
Task in GIS GRASS (eventually in other GIS). Transformation of chosen GRASS functions, data transformation process.
Labs:
1. Obtaining geographic data, transformation of obtained data.
2. Editing obtained data, creating maps based on obtained data with combination of other secondary geographic data.
3. Installation of the GIS GRASS, connection to demo data.
4. Working in the environment of the GIS GRASS.
5. Completing tasks with raster data.
6. Completing tasks with vector data.
7. Creating a new map using functions of the GIS GRASS.
8. Visualization of spatial data in the QGIS by connecting to the GIS GRASS.
9. Operating spatial data stored in a relational database (Spatial SQL).
10. Visualization of spatial data using web technologies. Creating simple application.
1. Basics of GIS, concepts and history of GIS, list of sciences about Earth.
2. Cartography, coordinate systems, transformations between coordinate systems, commonly used Czech and worldwide systems.
3. Representation of spatial data, spatial models.
4. Raster representation of spatial data.
5. Vector representation of spatial data.
6. Obtaining data, sources of geodetic data. Processing and application of primary and secondary spatial data.
7. Visualization of geographic data.
8. Spatial data representation in relational database (Spatial SQL).
9. Methods of remote sensing of Earth, presentation of active and passive systems.
10. Global positioning systems (GPS, GLONASS, Galileo), technical implementations, usage and applications.
Projects:
Task in GIS GRASS (eventually in other GIS). Transformation of chosen GRASS functions, data transformation process.
Labs:
1. Obtaining geographic data, transformation of obtained data.
2. Editing obtained data, creating maps based on obtained data with combination of other secondary geographic data.
3. Installation of the GIS GRASS, connection to demo data.
4. Working in the environment of the GIS GRASS.
5. Completing tasks with raster data.
6. Completing tasks with vector data.
7. Creating a new map using functions of the GIS GRASS.
8. Visualization of spatial data in the QGIS by connecting to the GIS GRASS.
9. Operating spatial data stored in a relational database (Spatial SQL).
10. Visualization of spatial data using web technologies. Creating simple application.