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November 2021
Event Omtenta, 8 June 2022 08:00
Changed by scheduling staff 16 November at 15:58
Scheduling staff created event 25 November at 05:02
 
Scheduling staff created event 25 November at 05:02
 
Scheduling staff created event 25 November at 05:02
 
Scheduling staff created event 25 November at 05:02
 
Scheduling staff created event 25 November at 05:02
Teacher Gyözö Gidofalvi edited 17 January at 09:51

FöreläsL6: Spatial Data Mining

Outline:Traditional data miningWhat is special about spatial?Spatial data mining- Spatial prediction- Spatial clustering- Spatial associations: co locationsSpatial outliersReading:S. Shekhar and S. Chawla. Introduction to Spatial Data Mining. In Spatial Databases: A Tour.Prentice Hall, 2003. (Spatial Data Mining.pdf)¶

 
Scheduling staff created event 25 November at 05:02
Teacher Gyözö Gidofalvi edited 17 January at 09:51

FöreläsningL5: Space and Place Syntax

Outline:Accessibility analysisSpace syntax analysisPlace syntax analysisUrban Network Analysis ToolboxReading:B. Jiang and C. Claramunt. Integration of Space Syntax into GIS: New Perspectives for UrbanMorphology. Transactions in GIS, 6(3): 295–309, 2002. (SpaceSyntax -UrbanMorphology.pdf)A. Sevtsuk and M. Mekonnen. Urban Network Analysis Toolbox. International Journal of Geomaticsand Spatial Analysis, 22(2): 287–305, 2012. (JGSA_urban_network_analysis_toolbox.pdf)¶

 
Scheduling staff created event 25 November at 05:02
Teacher Gyözö Gidofalvi edited 17 January at 09:51

FöreläsnL4: Cellular Automata and Agent -Based Modelling

Outline:Simple vs. complex systemsTop-down vs. generative scienceWhat is Cellular Automata (CA)?What is Agent-Based Modelling (ABM)?Decentralization and self-organizationCA and ABM software toolsABM example projectsReading:GA Online: Ch. 8.1 - 8.2¶

 
Scheduling staff created event 25 November at 05:02
Teacher Gyözö Gidofalvi edited 17 January at 09:51

FöreläsningL3: Spatial Autocorrelation, Interpolation, and Geographically Weighted Regression

Outline:Spatial autocorrelation- Detecting: Moran’s I, Geary’s C, joins counts- Local statistics: Getis -Ord Gi- Describing: variogramSpatial samplingInterpolationGeostatistics: KriggingGWRReading:GIA Ch. 7.4+: Spatial autocorrelationGIA Ch. 8: Local statistics, GWRGIA Ch. 9.1 -9.3: InterpolationGIA Ch. 10: Variogram analysis, KrigingGA Online:Ch. 5.5 Spatial AutocorrelationCh. 5.6.1-3 GWR¶

 
Scheduling staff created event 25 November at 05:02
Teacher Gyözö Gidofalvi edited 17 January at 09:51

DatorlaborationLAB5: Using Markov Cellular Automata for Landuse Change Modelling

Outline:Traditional data miningWhat is special about spatial?Spatial data mining¶

Teacher Gyözö Gidofalvi edited 17 January at 09:59

Outline:Traditional data miningWhat is special about spatial?Spatial data miningDue Feb 22

 
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