1) GIS, application domains, terminology.
2) Data, spatial data, geodata.
3) Features, composition of features and its description. Geometrical description of features.
4) Thematic, temporal, relational, functional and qualitative descriptions of features.
5) Methods of spatial data collection. GNSS, Earth observation.
6) Sources of digital geodata.
7) Input of spatial data. Sources of errors.
8) Spatial data analysis.
9) Specific features of socio-ecomomic data.
10) Geocoding, address matching.
11) Data visualiasion, presentation.
12) Basic cartographical rules.
13) Selected case studies.
2) Data, spatial data, geodata.
3) Features, composition of features and its description. Geometrical description of features.
4) Thematic, temporal, relational, functional and qualitative descriptions of features.
5) Methods of spatial data collection. GNSS, Earth observation.
6) Sources of digital geodata.
7) Input of spatial data. Sources of errors.
8) Spatial data analysis.
9) Specific features of socio-ecomomic data.
10) Geocoding, address matching.
11) Data visualiasion, presentation.
12) Basic cartographical rules.
13) Selected case studies.