Course detail

Geographical Information Systems

FAST-HE15Acad. year: 2013/2014

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). Variou forms of data, their relations (homeomorfismus). Basic characteristics of geographical data, topology in GIS. Digital terrain model , organization of DTM data in GIS. Standatds,"openGIS", analysis of data. Principles of GIS design. ZABAGD, DMÚ 25, main GIS.

Language of instruction

Czech

Number of ECTS credits

5

Mode of study

Not applicable.

Department

Institute of Geodesy (GED)

Learning outcomes of the course unit

become familiar with geographic information systems (GIS), to understand the principle of territorial bound geo-databases, handle graph theory and topology of spatial objects, to become familiar with data models in GIS, understand ontology, metadata, spatial analysis, to realize a project in an Intergraph Geomedia or ArcGIS

Prerequisites

computer skills, basic databases, statistics, applied mathematics

Co-requisites

Not applicable.

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

Course curriculum

1. Introduction, definition of GIS, development, relations, geographical object, homeomorphism.
2. Information systems: types, design methods
3. Overview of database systems. relational algebra, SQL, spatial indexes and queries, data mining (cluster analysis, artificial neural networks, genetic algorithms)
4. Basic of graph theory, selected tasks on graph structures
5. Topology (mathematics, pragmatic - DIGEST standard)
6. Data models in GIS (raster, vector, matrix data)
7. Digital model of Terrain (raster, vector, TIN)
8. Data capture, metadata, data quolity and accuracy - standards
9. Map algebra: model, operators, functions, tasks
10. Spatial analysis: history, objective, types (measured and classify functions, overlay, focal functions, join functions)
11. Current trends and developments of GIS

Work placements

Not applicable.

Aims

Understanding of information systems and databases with connection to spatial identification.

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

Albrecht, Joachim: Key Concepts & Techniques in GIS. SAGE publications, 2007. (EN)
Tuček, Ján: Geografické informační systémy. Principy a praxe.. Computer Press, 1998. (CS)

Recommended reading

Charvát, K. - Kocáb, M. - Konečný, M. - Kubíček, P.: Geografická data v informační společnosti. VÚGTK Zdiby, 2007. (CS)
Rana, Sanjay: Topological Data Structures for Surfaces. John Viley & Sons Ltd., 2004. (EN)
Wang, Fahui: Quantitative Methods and Applications in GIS.. Taylor & Francis Group., 2006. (EN)

Classification of course in study plans

  • Programme N-P-C-GK Master's

    branch G , 2 year of study, winter semester, compulsory
    branch G , 2 year of study, winter semester, compulsory
    branch GD , 2 year of study, winter semester, compulsory
    branch GD , 2 year of study, winter semester, compulsory

Type of course unit

 

Lecture

26 hod., optionally

Teacher / Lecturer

Syllabus

1. Introduction, definition of GIS, development, relations, geographical object, homeomorphism.
2. Information systems: types, design methods
3. Overview of database systems. relational algebra, SQL, spatial indexes and queries, data mining (cluster analysis, artificial neural networks, genetic algorithms)
4. Basic of graph theory, selected tasks on graph structures
5. Topology (mathematics, pragmatic - DIGEST standard)
6. Data models in GIS (raster, vector, matrix data)
7. Digital model of Terrain (raster, vector, TIN)
8. Data capture, metadata, data quolity and accuracy - standards
9. Map algebra: model, operators, functions, tasks
10. Spatial analysis: history, objective, types (measured and classify functions, overlay, focal functions, join functions)
11. Current trends and developments of GIS

Exercise

26 hod., 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