Palacký University Olomouc
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for academic year 2024/2025
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Course: Spatial Data Analysis

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Course title Spatial Data Analysis
Course code KGI/PGSPA
Organizational form of instruction Lecture
Level of course Doctoral
Year of study not specified
Semester Winter and summer
Number of ECTS credits 15
Language of instruction Czech, English
Status of course unspecified
Form of instruction Face-to-face
Work placements This is not an internship
Recommended optional programme components None
Lecturer(s)
  • Voženílek Vít, prof. RNDr. CSc.
  • Horák Jiří, doc. Ing. dr
  • Horák Jiří, doc. Ing. Dr.
Course content
Space data. Analysis of the suroundings. Analysis of the connection. Analysis of the space data. Modeling of the space data. Statistical methods for modeling and analysis of the data. Analysis of the point and polygons samples. Kernel smoothing methods. IDW. K function. Analysis of the time part of the datasets. Description of the sample with the use of the graphs. The common analysis of the graphical and atribute parts of the data. Clasification of the operation. Overcovering operation and map algebra. Basic, universal, indicators and probability kriging. Analysis of the space continual data. Space autocorelation and structure function.

Learning activities and teaching methods
Lecture
Learning outcomes
Gaining knowledge from different analysis of geodata.
Evaluation Evaluate the particular methods and principles, explain the aspects and results concerning the given issue, integrate the knowledge, predict the solutions, evaluate the results and outcomes.
Prerequisites
unspecified

Assessment methods and criteria
Oral exam

Student has to prove the knowledge of the subject topics.
Recommended literature
  • Bailey, T.C., Gatrell, A. C. (1995). Interactive spatial data analysis. Essex, Longman Scientific & Technical.
  • Birkin M. et al. (1996). Intelligent GIS - location decisions and strategic planning. Geoinformation International, Cambridge, UK.
  • Burrouhg P., McDonnell A. (1998). Principles of Geographical Information Systems. Oxford University Press, 333 stran.
  • Fotheringham S., Rogerson P. (1994). Spatial Analisys and GIS. Taylor &Francis Ltd, 281 stran.
  • Horák J. (2006). Prostorová analýza dat. Skripta VŠB-TU Ostrava.
  • Horák J., Šimek M., Šeděnková M., Růžička L., Horáková B., Peňáz T. (2005). Dostupnost zaměstnavatelů v okrese Bruntál. VŠB - TU Ostrava.
  • Lee, J., Wong, D. (2001). Statistical analysis with ArcView GIS. USA, John Wiley & Sons Inc. 192 s.
  • Meer Freek D. (1992). Introduction to Geostatistics. ITC Enschede, 52 stran.
  • Schejbal C. (1985). Aplikovaná geostatistika III. GŘ ČSUP Příbram, 207 stran.
  • Schejbal C. (1983). Aplikovaná geostatistika. GŘ ČSUP Příbram, 153.
  • Tuček, J. (1998). Geografické informační systémy : principy a praxe. Praha: Computer Press.
  • Walford, N. (1995). Geographical Data Analysis. UK, John Wiley & Sons LTd., 446 s.
  • Yue-Hong Chou. (1996). Exploring Spatial Analysis in Geographic Information systems. Onword Press.


Study plans that include the course
Faculty Study plan (Version) Category of Branch/Specialization Recommended year of study Recommended semester
Palacký University Olomouc, date of update: 14.06.2025 23:55. Data created for academic year 2024/2025