GIS and Methods for Spatial Data Analysis

Content of Geoinformatics and historical development. Space, time and scale. Acquisition, pre-processing, and analysis of primary spatial environmental data. Data types and processing methods. Advanced issues of satellite data processing. Geodesy. Photogrammetry. Spatial Interpolation Methods. Applications of spatial analysis methods, including geographic information systems, remote sensing, and spatial analysis methods in ecology, biodiversity, genetics, water resources, soil management, solid waste management.