Course detail

Applied geoinformatics

FAST-NEB048Acad. year: 2020/2021

Content of the subject will be deepening of data sources and data formats, creation and analysis of digital terrain model, spatial interpolation and general basics of GIS analysis over vector and raster data. At the end of the course the student will be able to understand and explain the essence of basic methods of geoinformatics, to use individual methods and to provide rational justification of the conditions of their practical use.

Language of instruction

Czech

Number of ECTS credits

7

Mode of study

Not applicable.

Guarantor

doc. RNDr. Aleš Ruda, Ph.D.

Department

Institute of Geodesy (GED)

Learning outcomes of the course unit

Not applicable.

Prerequisites

Geographic information systems, Cartography

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. Geographic dimension modelling in geoinformatics
2. Map services
3. Exploratory spatial data analysis (EDA, ESDA)
4. Geoprocessing: query builder, overaly, DMT analysis
5. Geoprocessing: network analysis
6. Spatial distribution of points, lines and polygons
7. Creating continuous surfaces
8. Kriging
9. Cartographic modelling
10. Spatial decision making

Work placements

Not applicable.

Aims

Not applicable.

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-GK Master's, 2. year of study, summer semester, compulsory-optional

Type of course unit

 

Lecture

39 hours, optionally

Teacher / Lecturer

doc. RNDr. Aleš Ruda, Ph.D.

Syllabus

1. Geographic dimension modelling in geoinformatics 2. Map services 3. Exploratory spatial data analysis (EDA, ESDA) 4. Geoprocessing: query builder, overaly, DMT analysis 5. Geoprocessing: network analysis 6. Spatial distribution of points, lines and polygons 7. Creating continuous surfaces 8. Kriging 9. Cartographic modelling 10. Spatial decision making

Exercise

39 hours, compulsory

Teacher / Lecturer

doc. RNDr. Aleš Ruda, Ph.D.

Syllabus

1. ArcGIS for Desktop 2. Map services 3. ESDA 4. Overlay, DMT analysis 5. Network analysis 6. Spatial distribution of features 7. Interpolation 8. Kriging 9. Model Builder 10. Spatial decision making