Course Details
Geographical Information Systems
Academic Year 2022/23
TE01 course is part of 2 study plans
N-P-C-A / ARS / ArP Winter Semester 2nd year
N-P-C-A / ARS / ArA Winter Semester 2nd year
Geographical information system (GIS),its objective, function and structure. relation between GISand CAD. geographic object, information and database systems, modern methods of works with data (genetic algorithm. neural networks), Various forms of data, their relations (homeomorfismus), Basic characteristics of geographical data, topology in GIS. SDI, INSPIRE, Digital terrain model, organization of DTM data in GIS. Standards,"openGIS", spatial analysis of data, current trends in GIS
Credits
3 credits
Language of instruction
Czech
Semester
winter
Course Guarantor
Institute
Forms and criteria of assessment
graded course-unit credit
Entry Knowledge
Basis knowledge needed for GIS design.
Ability to create a GIS project in Geomedia Intergraph and Arc/Info Systems.
Ability to create a GIS project in Geomedia Intergraph and Arc/Info Systems.
Aims
Understanding of information systems and databases with connection to spatial identification. Principles of work with ArcGIS and Geomedia Intergraph.
Basic Literature
Smutný, J.: Geografické informační systémy. VUT, FAST, Brno, 1998. (cs)
Bartoněk, D.: Územní informační systémy. M1, M2. Elektronické studijní opory,. VUT, FAST, Brno, 2010. (cs)
Bartoněk, D.: Územní informační systémy. M1, M2. Elektronické studijní opory,. VUT, FAST, Brno, 2010. (cs)
Recommended Reading
Bill, R.- Fritsch, D.: Grundlagen der Geo-Informationssysteme. Herbert Wichmann Verlag, 1991. (de)
Longley, P. .A. et all.: Geographic Information – Systems and Science. Wiley Europe, 2001. (en)
Longley, P. .A. et all.: Geographic Information – Systems and Science. Wiley Europe, 2001. (en)
Syllabus
1. Introduction, definition, interdisciplinary relationships, geographic object, homeomorphism
2. Information systems: types, methods of design, information systems in public administration
3. Database systems: relational algebra, SQL language, spatial indexes, spatial queries, data mining (cluster analysis, artificial neural networks, genetic algorithms)
4. Topology (mathematical, pragmatic - Standard DIGEST)
5. Data models in GIS (vector, raster, matrix)
6. Sources of data in GIS, web mapping services
7. SDI (Spatial Data Infrastructure for), the INSPIRE Directive
8. Digital elevation model (raster, vector, TIN)
9. Input data, metadata, data accuracy and quality - standards
10. Map algebra: a model, operators, functions, typical tasks
11. Spatial analysis: history, purpose, types (measurement and classification functions, overlay function in the neighborhood, connecting function)
12. Current trends and developments of GIS
2. Information systems: types, methods of design, information systems in public administration
3. Database systems: relational algebra, SQL language, spatial indexes, spatial queries, data mining (cluster analysis, artificial neural networks, genetic algorithms)
4. Topology (mathematical, pragmatic - Standard DIGEST)
5. Data models in GIS (vector, raster, matrix)
6. Sources of data in GIS, web mapping services
7. SDI (Spatial Data Infrastructure for), the INSPIRE Directive
8. Digital elevation model (raster, vector, TIN)
9. Input data, metadata, data accuracy and quality - standards
10. Map algebra: a model, operators, functions, typical tasks
11. Spatial analysis: history, purpose, types (measurement and classification functions, overlay function in the neighborhood, connecting function)
12. Current trends and developments of GIS
Prerequisites
Fundamental knowledge of information technology.
Specification of controlled instruction, the form of instruction, and the form of compensation of the absences
Extent and forms are specified by guarantor’s regulation updated for every academic year.
Offered to foreign students
Not to offer
Course on BUT site
Lecture
13 weeks, 1 hours/week, elective
Syllabus
1. Introduction, definition, interdisciplinary relationships, geographic object, homeomorphism
2. Information systems: types, methods of design, information systems in public administration
3. Database systems: relational algebra, SQL language, spatial indexes, spatial queries, data mining (cluster analysis, artificial neural networks, genetic algorithms)
4. Topology (mathematical, pragmatic - Standard DIGEST)
5. Data models in GIS (vector, raster, matrix)
6. Sources of data in GIS, web mapping services
7. SDI (Spatial Data Infrastructure for), the INSPIRE Directive
8. Digital elevation model (raster, vector, TIN)
9. Input data, metadata, data accuracy and quality - standards
10. Map algebra: a model, operators, functions, typical tasks
11. Spatial analysis: history, purpose, types (measurement and classification functions, overlay function in the neighborhood, connecting function)
12. Current trends and developments of GIS
2. Information systems: types, methods of design, information systems in public administration
3. Database systems: relational algebra, SQL language, spatial indexes, spatial queries, data mining (cluster analysis, artificial neural networks, genetic algorithms)
4. Topology (mathematical, pragmatic - Standard DIGEST)
5. Data models in GIS (vector, raster, matrix)
6. Sources of data in GIS, web mapping services
7. SDI (Spatial Data Infrastructure for), the INSPIRE Directive
8. Digital elevation model (raster, vector, TIN)
9. Input data, metadata, data accuracy and quality - standards
10. Map algebra: a model, operators, functions, typical tasks
11. Spatial analysis: history, purpose, types (measurement and classification functions, overlay function in the neighborhood, connecting function)
12. Current trends and developments of GIS
Exercise
13 weeks, 2 hours/week, compulsory
Syllabus
I. working in Geomedia Intergraph, fundamental tasks.
1. creating of projekct
2. import raster data
3. import vector data
4. import of coordinates
II. working in ArcGIS, fundamental tasks.
5. deal with project
6. deal with project
7. deal with project
8. watershead analysis
9. Image classification
10. distance analysis
11. distance analysis - finishing
12. working with database tables
13. final project
1. creating of projekct
2. import raster data
3. import vector data
4. import of coordinates
II. working in ArcGIS, fundamental tasks.
5. deal with project
6. deal with project
7. deal with project
8. watershead analysis
9. Image classification
10. distance analysis
11. distance analysis - finishing
12. working with database tables
13. final project