Course Details
Geographical Information Systems 2
Academic Year 2023/24
NEA042 course is part of 1 study plan
NPC-GK Winter Semester 2nd year
Geographic Information System (GIS), its purpose, function and structure; GIS and CAD relationship; geographic topographic object, homeomorphism, information and database systems, data mining (genetic algorithms, neural networks), fundamentals of graph theory, data models in GIS (raster, vector, matrix data), topology in GIS, digital terrain models, data models in GIS; GIS standardization (metadata, data quality, errors in data), ontology, big data, multi-criteria analysis, map algebra, Web-GIS, spatial analysis, reverse engineering, BIM.
Course Guarantor
Institute
Objective
Understanding of information systems and databases with connection to spatial identification.
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.
Syllabus
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).
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).
Prerequisites
computer skills, basic databases, statistics, applied mathematics
Language of instruction
Czech
Credits
5 credits
Semester
winter
Forms and criteria of assessment
course-unit credit and examination
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, 2 hours/week, elective
Syllabus
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).
Exercise
13 weeks, 2 hours/week, compulsory
Syllabus
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.