548-0009/06 – GIS Data Processing (ZDGIS)
| Gurantor department | Department of Geoinformatics | Credits | 5 |
| Subject guarantor | Ing. Lucie Orlíková, Ph.D. | Subject version guarantor | prof. Ing. Jiří Horák, Dr. |
| Study level | undergraduate or graduate | Requirement | Compulsory |
| Year | 2 | Semester | winter |
| | Study language | English |
| Year of introduction | 2016/2017 | Year of cancellation | 2022/2023 |
| Intended for the faculties | HGF | Intended for study types | Bachelor, Follow-up Master |
Subject aims expressed by acquired skills and competences
The aim of the subject is to give information students about methods and processes in Data processing in GIS, mainly data analysis. Beside to obtained overview the student will be able to design and realise appropriate procedures and critically evaluate different variants of the solution.
Teaching methods
Lectures
Tutorials
Project work
Summary
The lectures include a review of various possibilities of spatial data processing in geographical information systems. Following main topics are explained: concepts of modifications and transformations of spatial data, basics of map algebra, overlay analysis, neighbourhood analysis including geostatistics and contiguity analysis. A typology of spatial analysis are completed by explanation of mathematical principles and concepts of appropriate algorithms, pros and cons or constraints of each method, case studies and examples of implementation in usual software.
Compulsory literature:
Recommended literature:
Kanevski M. F.: Advanced mapping of environmental data : geostatistics, machine learning and Bayesian maximum entropy. ISTE 2008. 313 s., 978-1-84821-060-8
Zeiler M.: Modeling our World. ESRI Press, Redlands, CA, 1999, 199 pages
Wingle W., Poeter E.: Geostatistical Analysis Tutor. Colorado School of Mines. 1999. Available at http://www.uncert.com/tutor/
Burrough P., McDonnell A.: Principles of Geographical Information Systems. Oxford University Press, 1998, 333 stran.
Way of continuous check of knowledge in the course of semester
testing
project
E-learning
Other requirements
No additional requirements are imposed on the student.
Prerequisities
Subject has no prerequisities.
Co-requisities
Subject has no co-requisities.
Subject syllabus:
Classification of analytical functions. Spatial Extension of SQL – geometrical model.
Format transformation. Data model conversions. Geometric transformation. Conflaction - horizontal, vertical. Editing graphical data.
Generalisation, topology control.
Maintenance and analysis of attribute data. Geocoding, address matching, geoparsing.
Selection. Topological selections. Classification. Implicit calculations.
Map algebra. Overlays, quantification of overalys.
Multicriteria evaluation. Multitarget evaluation.
Neighbor analysis. Searching. Points and lines in polygones. Calculations and classifications using neighbor analysis. Topographical functions. Thiessen polygons.
Interpolation.Methods. Verification.
Geostatistics. Spatial autocorellation. Structural functions. Anisotropy.
Geostatistical interpolation methods. Kriging variants. Simulations. COnditional simulations.
Analysis of connectivity. Continuity measures. Landscape metrics.
Network analysis. Spread analysis. Visibility analysis.
Uncertainity in GIS. Error propagation.
Sensitivity analysis. Monte Carlo simulations. Fuzzy sets. Bayes theory. Dempster-Shafer theory.
Conditions for subject completion
Occurrence in study plans
Occurrence in special blocks
Assessment of instruction
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