Course detail

Geographical Information Systems

FAST-TE01Acad. year: 2018/2019

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

Department

Institute of Geodesy (GED)

Learning outcomes of the course unit

Students will manage basic theoretical knowledge of geoinformatics/geomatics and digital cartography. They will be introduced with positional and altitudinal bases of geographic information systems. They will achieve detailed knowledge about national digital map works, geoinformatic systéme, spatial databases and about data collection methods for these products. Capability to deal with the simple GIS project in Geomedia Intergraph or ArcGIS

Prerequisites

Fundamental knowledge of information technology.

Co-requisites

statistics, database systems

Recommended optional programme components

deal with project

Recommended or required reading

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)
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)

Planned learning activities and teaching methods

Teaching methods depend on the teaching methods are described in Article 7 of the Study and Examination Regulations of the University. Teaching theories hold presentations and direct instruction. Practical skills students will acquire the solution of several subtasks and 2 projects. The course will be based on the LMS Moodle.

Assesment methods and criteria linked to learning outcomes

Attendance, submission of laboratory reports, activity in the exercises, written tests, submission of final project

Language of instruction

Czech

Work placements

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

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.

Classification of course in study plans

  • Programme N-P-C-A Master's

    branch ARS , 2. year of study, winter semester, 3 credits, compulsory
    branch ARS , 2. year of study, winter semester, 3 credits, compulsory-optional

Type of course unit

 

Lecture

13 hours, optionally

Teacher / Lecturer

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 hours, compulsory

Teacher / Lecturer

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