1. Introduction. Policy work in the computer lab. Introduction to GIS software.
2. Dates, information, metadata, meta-information. Analog and digital data.
3. Information systems, information systems structure. Geographic Information Systems.
4. Space digital data and spatial information. Vector data and raster data. Their advantages and disadvantages. Properties of spatial data.
5. Geometric component of spatial data. Spatial reference. Topological component of spatial data. Attribute part of spatial data. Time validnost spatial data. Metadata for spatial data. Coordinate systems.
6. Global Positioning Systems (GPS). Principles of functioning GPS. GPS component and their functions. Refining GPS position. Limitations of GPS.
7. Remote Sensing (RS). Electromagnetic waves, its properties and structure. Basic principles of remote sensing. Qualitative indicators data from remote sensing.
8. Fundamentals of photogrammetry. Aerial photography. Orthorectification of aerial photographs. Orthophoto. Laser scanning. Use of remote sensing for environmental protection.
9. Analytic tools GIS 1 - Displaying spatial data, the benefits of presenting data and information using thematic maps. Selective operation. Geostatistics.
10. Analytical tools GIS 2 - Geometric data operations. Zoning and its properties. Overlay operations. Spatial data connection. Network analysis. Definitions network. Features networks. Dijkstra's algorithm. Network analysis tasks.
11th Analytical tools GIS 3 - Operations with bitmaps. Local, focal, zonal and global analysis. Digital elevation models. TIN Model. Model Grid. Capacity calculations. Visibility analyzes. Hydrologic analysis.
12th Properties map. Map scale. Maps. Topographic maps. Technical maps. Thematic maps. Generalization map.
13th mapping elements. Principles of creating thematic maps compositions. Cartographic principles for creating maps. The most common errors in thematic maps and their removal.
2. Dates, information, metadata, meta-information. Analog and digital data.
3. Information systems, information systems structure. Geographic Information Systems.
4. Space digital data and spatial information. Vector data and raster data. Their advantages and disadvantages. Properties of spatial data.
5. Geometric component of spatial data. Spatial reference. Topological component of spatial data. Attribute part of spatial data. Time validnost spatial data. Metadata for spatial data. Coordinate systems.
6. Global Positioning Systems (GPS). Principles of functioning GPS. GPS component and their functions. Refining GPS position. Limitations of GPS.
7. Remote Sensing (RS). Electromagnetic waves, its properties and structure. Basic principles of remote sensing. Qualitative indicators data from remote sensing.
8. Fundamentals of photogrammetry. Aerial photography. Orthorectification of aerial photographs. Orthophoto. Laser scanning. Use of remote sensing for environmental protection.
9. Analytic tools GIS 1 - Displaying spatial data, the benefits of presenting data and information using thematic maps. Selective operation. Geostatistics.
10. Analytical tools GIS 2 - Geometric data operations. Zoning and its properties. Overlay operations. Spatial data connection. Network analysis. Definitions network. Features networks. Dijkstra's algorithm. Network analysis tasks.
11th Analytical tools GIS 3 - Operations with bitmaps. Local, focal, zonal and global analysis. Digital elevation models. TIN Model. Model Grid. Capacity calculations. Visibility analyzes. Hydrologic analysis.
12th Properties map. Map scale. Maps. Topographic maps. Technical maps. Thematic maps. Generalization map.
13th mapping elements. Principles of creating thematic maps compositions. Cartographic principles for creating maps. The most common errors in thematic maps and their removal.