Information sheet ECTS Syllabus
Course syllabus B1-PMGIS - Spatial modeling in GIS (FCE - WS 2019/2020)
|University:||Slovak University of Technology in Bratislava|
|Faculty:||Faculty of Civil Engineering|
|Course unit code:||B1-PMGIS|
|Course unit title:||Spatial modeling in GIS|
|Mode of delivery, planned learning activities and teaching methods:|
|Recommended semester/trimester:||Geodesy and Cartography - bachelor (compulsory), 5. semester|
|Level of study:||1.|
|Prerequisites for registration:||none|
|Passing of test during semester, correct processing of all reports.|
Passing the exam with min. 56% criterion of success.
|Learning outcomes of the course unit:|
|To gain knowledge of spatial modelling in geographic information systems (GIS). To acquire knowledge of properties and characteristics of the Earth’s terrain and to understand principles of topographic mapping and digital terrain model (DTM) creation. To be able to describe characteristics, geometric structure, morphometric quantities, methods of interpolation and methods of visualization of DTM using GIS methods and technology. To gain practical experience in the area of creation, analysis, usage, and application of spatial modelling for phenomena and processes ongoing in modelled reality. To become familiar with the principles, theoretical background, and mathematical basis of selected raster and spatial analyses in regard to their practical use.|
|Theoretical background of spatial modelling – development, definition, classification and verification of spatial models. Spatial system theory. Temporal modelling and dynamic description of geoobjects.
Topography (subject and methods). Properties and characteristics of the relief. Georelief, morphometric quantities of georelief. Topological relations of geoobjects.
Methods of data collection for the creation of DTM. Spatial interpolation methods and DTM creation in the GIS environment. 3-dimensional models of relief. DTM quality assessment. DTM and its analysis.
Spatial models application in analysis/synthesis for obtaining new information and knowledge.
Digital image processing – supervised and unsupervised data classification.
Vector spatial analysis methods – analysis of points and networks, distance analysis.
Raster spatial analysis methods – map algebra, cost distance analysis.
Geostatistical and fuzzy approach to data modelling.
Simulation of processes on the basis of spatial models.
|Recommended or required reading:|
|Language of instruction:||slovak|
|Assessed students in total: 73|
|Name of lecturer(s):||doc. Ing. Renata Ďuračiová, PhD. (person responsible for course) - slovak|
Ing. Jana Faixová Chalachanová, PhD. (examiner, instructor, lecturer) - slovak
Ing. Róbert Fencík, PhD. (examiner, instructor, lecturer) - slovak
Ing. Tibor Lieskovský, PhD. (examiner, instructor, lecturer) - slovak
|Last modification:||15. 3. 2019|
|Supervisor:||doc. Ing. Renata Ďuračiová, PhD. and programme supervisor|
Last modification made by Ing. Peter Korčák on 03/15/2019.