Author, Institution: Indraja Elžbieta Germanaitė, Kaunas University of Technology
Science area, field of science: Technological Sciences, Informatics Engineering, T007
Scientific Supervisor: Prof. Dr. Rimantas Butleris (Kaunas University of Technology, Technology Sciences, Informatics Engineering, T007)
Scientific Advisor: Prof. Dr. Kęstutis Zaleckis (Kaunas University of Technology, Humanities, History and Theory of Arts, H003)
Dissertation Defence Board of Informatics Engineering Science Field:
Prof. Dr. Tomas Blažauskas (Kaunas University of Technology, Technological Sciences, Informatics Engineering, T007) – chairperson
Prof. Dr. Nikolaj Goranin (Vilnius Gediminas Technical University, Technological Sciences, Informatics Engineering, T007)
Prof. Dr. Diana Kalibaitienė (Vilnius Gediminas Technical University, Technological Sciences, Informatics Engineering, T007)
Prof. Dr. Raimundas Matulevičius (Tartu University, Estonia, Technological Sciences, Informatics Engineering, T007)
Prof. Dr. Algimantas Venčkauskas (Kaunas University of Technology, Technological Sciences, Informatics Engineering, T007)
The dissertation defence was at the Meeting room at Santaka Valley of Kaunas University of Technology (K. Baršausko 59 – A228, Kaunas).
The doctoral dissertation is available at the library of Kaunas University of Technology (K. Donelaičio g. 20, Kaunas).
Annotation:
Analytical mathematical methods alone are not sufficient for the solution of the complex applied tasks of the spatial analysis, for example, in the discipline of territorial planning. Therefore, in this dissertation, a spatial patterns description, identification and application methodology was developed, which allows us to perform the automated (using quantified and scientifically based indicators of a complex spatial system) identification of spatial patterns and the assessment of a complex spatial system, thus improving the quantitative analysis capabilities of complex spatial systems. The developed methodology specification, data model, and input spatial data preparation procedure provide an opportunity to define descriptive, categorizing, hierarchical, computational, and spatial attributes of the spatial pattern, identification methods, and complex spatial systems. Methodology testing experiments were performed during the research: the values of spatial patterns and metapatterns were described and identified, and then the results of the experiments were evaluated by an expert assessment and by calculating correlations, so it can be stated that the methodology is suitable for the implementation of the tasks set for it.
August 31 d. 15:00
Meeting room at Santaka Valley of Kaunas University of Technology (K. Baršausko 59 – A228, Kaunas)
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