Course detail

Geographical Information Systems

FAST-NEA053Acad. year: 2022/2023

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

Language of instruction

Czech

Number of ECTS credits

Mode of study

Not applicable.

Guarantor

doc. Ing. Dalibor Bartoněk, CSc.

Department

Institute of Geodesy (GED)

Learning outcomes of the course unit

Basis knowledge needed for GIS design.
Ability to create a GIS project in Geomedia Intergraph and Arc/Info Systems.

Prerequisites

Fundamental knowledge of information technology.

Co-requisites

Not applicable.

Planned learning activities and teaching methods

Not applicable.

Assesment methods and criteria linked to learning outcomes

Not applicable.

Course curriculum

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

Work placements

Not applicable.

Aims

Understanding of information systems and databases with connection to spatial identification. Principles of work with ArcGIS and Geomedia Intergraph.

Specification of controlled education, way of implementation and compensation for absences

Extent and forms are specified by guarantor’s regulation updated for every academic year.

Recommended optional programme components

Not applicable.

Prerequisites and corequisites

Not applicable.

Basic literature

Not applicable.

Recommended reading

Not applicable.

Classification of course in study plans

  • Programme NPC-ARS Master's

    specialization ARA , 2 year of study, winter semester, compulsory-optional
    specialization ARP , 2 year of study, winter semester, compulsory

Type of course unit

 

Lecture

13 hod., optionally

Teacher / Lecturer

doc. RNDr. Aleš Ruda, Ph.D.

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

Exercise

26 hod., compulsory

Teacher / Lecturer

doc. RNDr. Aleš Ruda, Ph.D.

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