Introduction into the problem of spatial data analysis in environmental science. Fields of the geostatistics application, Basic assumptions of the geostatistics, normality of the distribution and stationarity. Exploratory analysis of the dataset. Introduction into variogram analysis, characteristics of the variogram, modeling of the variogram, anisotropy. Interpolation methods, kriging, ordinary kriging, co-kriging, universal kriging, Cross- validation, Smoothing, Kriging in the presence of trend.
KNOWLEDGE
-GEO_W5 - the basics of statistics and modelling in the GIS environment
-GEO_W6 - rules for geoprocessing data from GIS
SKILLS
-GEO_U3 - analyze spatial data (also using GIS tools) for spatial planning, water management, flood protection and environmental protection; perform simple geodetic measurements and use complex geodetic documentation
-GEO_U2 - apply advanced technologies to obtain and process information, statistical calculations and computer graphics in spatial planning, environmental protection and engineering as well as in water management (e.g. GIS, CAD)
-GEO_U7 - apply programming languages and principles of computer programming to solve geospatial problems
-GEO_U9 - use the right methods of geoinformation analysis; cooperate in research in other scientific disciplines applying geodata, and remote sensing
SOCIAL SKILLS
-GEO_K1 - improve professional, personal and social skills
-GEO_K4 - apply engineering knowledge being aware of its effects and influence on natural environment
-GEO_K6 - solve professional problems correctly understanding the importance of gaining information from reliable sources