Course Details

Geographical Information Systems 2

Academic Year 2024/25

NEA042 course is part of 1 study plan

NPC-GK Winter Semester 2nd year

Course Guarantor


Language of instruction



5 credits



Forms and criteria of assessment

course-unit credit and examination

Offered to foreign students

Not to offer

Course on BUT site


13 weeks, 2 hours/week, elective


1. Introduction, definition of GIS, history, structure, relation to other fields, geographic object, GIS processing chain, mathematical basis of geo-database (homeomorphism). 2. Theory of information. Information Systems (IS), definitions and types of IS, UML diagrams, ISKN structure, IS in state administration (system of 4 basic registers), GeoInfoStrategie. 3. Database systems. Relational and object data model, relational algebra, SQL language. Spatial data structures, SQL spatial queries, deductive databases. 4. Data mining, methods (cluster analysis, artificial neural networks, genetic algorithms). 5. Fundamentals of graph theory. Definitions, basic concepts, structure storage patterns, basic graph algorithms used in GIS (minimal framework, minimum path between two nodes, task of Chinese letterhead, Hamilton path). Planar charts, chart coloring. 6. Topology. History, mathematical and pragmatic approach. Topology according to DIGEST standard. 7. Data models in GIS. Raster, vector, matrix data. Data sources for GIS in the Czech Republic and abroad. 8. Issues of processing large volume data (Big Data). 9. Metadata, data quality, data errors. INSPIRE directive, ontology. 10. Digital terrain models. Definitions, algorithms of creation and optimization, issues of 3D imaging. 11. Map algebra, GIS on-line, web map services, web portals. 12. Spatial analysis. History, Measurement and Classification Functions, focal Functions, Overlay Function, joining Functions. 13. Multi-criteria analysis, methods, applications, reverse engineering, Building Information Modelling (BIM).


13 weeks, 2 hours/week, compulsory


1. Introduction, introduction to the topics, conditions for granting credit. Basic information about Arc / Info, the basics of working with ArcCatalog and ArcGIS. 2. Vodohospodářský projekt – part 1. 3. Vodohospodářský projekt – part 2. 4. Image classification - supervised. 5. Use of unsupervised classification – flood assessment. 6. Distance analysis. 7. Hydrological modelling. 8. Work with database, DMT, profiles. 9. QGIS product, basic information, familiarity with the program environment. 10. Project in QGIS - Cloud Point Processing. 11. Python Scripting Language, alternatively creating online geo-web applications. 12. Using Python in QGIS. 13. Final project.