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Vecka 4 2015 Visa i Mitt schema
Tis 20 jan 08:00-10:00 L0: Course Introduction and Introduction to Spatial Analysis
VT 2015
Föreläsning Lärare: Gyözö Gidofalvi
Plats: L44
Reading:

GA Ch. 14
GIA Ch. 2
GA Ch.15-16

Ons 21 jan 10:00-12:00 L1: Cartographic Modelling and Multi-Criteria Evaluation (MCE)
VT 2015
Föreläsning Lärare: Gyözö Gidofalvi
Plats: L44
Outline:

Raster algorithms
Cartographic modeling or map algebra
Multi Criteria Evaluation

Reading:

J. R. Eastman, W. Jin, P. A. K. Kyem, J. Toledano. Raster Procedures for Multi-Criteria/Multi-Objective Decisions. Photogrammetric Engineering and Remote Sensing 61(5):539-547, 1995. (Eastman-etal-1995.pdf)

Ons 21 jan 13:00-17:00 LAB1: Cartographic Modelling and Multi-Criteria Evaluation (MCE)
VT 2015
Datorlaboration Lärare: Katarina Elevant
Plats: Nils
Fre 23 jan 08:00-10:00 L2: Point Pattern Analysis
VT 2015
Föreläsning Lärare: Gyözö Gidofalvi
Plats: L22
Outline:

Spatial pattern and process
IRP / CSR and expectations
What is a point pattern?
Measures (descriptive statistics) of points patterns
- Centrographic
- Density-based: quadrant counting
- Distance-based: mean NN-dist, G, F, K
Statistical assessment of point patterns

Reading:

GIA Ch. 4-5-(6) GA Online Ch 5.3 – 5.4

Vecka 5 2015 Visa i Mitt schema
Tors 29 jan 13:00-17:00 LAB2: Cartographic Modelling and Multi-Criteria Evaluation (MCE)
VT 2015
Datorlaboration
Plats: Nils
Vecka 6 2015 Visa i Mitt schema
Tis 3 feb 08:00-10:00 L3: Spatial Autocorrelation, Interpolation, and Geographically Weighted Regression
VT 2015
Föreläsning Lärare: Gyözö Gidofalvi
Plats: L44
Outline:

Spatial autocorrelation
- Detecting: Moran’s I, Geary’s C, joins counts
- Local statistics: Getis-Ord Gi
- Describing: variogram
Spatial sampling
Interpolation
Geostatistics: Krigging
GWR

Reading:

GIA Ch. 7.4+: Spatial autocorrelation
GIA Ch. 8: Local statistics, GWR
GIA Ch. 9.1-9.3: Interpolation
GIA Ch. 10: Variogram analysis, Kriging

GA Online:
Ch. 5.5 Spatial Autocorrelation
Ch. 5.6.1-3 GWR

Tors 5 feb 13:00-17:00 LAB3: Point Pattern and Spatial Autocorrelation Analysis
VT 2015
Datorlaboration
Plats: Nils
Vecka 7 2015 Visa i Mitt schema
Tis 10 feb 08:00-10:00 L4: Cellular Automata and Agent-Based Modeling
VT 2015
Föreläsning Lärare: Gyözö Gidofalvi
Plats: L44
Outline:

Simple vs. complex systems
Top-down vs. generative science
What is Cellular Automata (CA)?
What is Agent-Based Modeling (ABM)?
Decentralization and self-organization
CA and ABM software tools
ABM example projects

Reading:

GA Online: Ch. 8.1 - 8.2

Fre 13 feb 13:00-17:00 LAB4: Interpolation and GWR
VT 2015
Datorlaboration
Plats: Baltzar
Vecka 8 2015 Visa i Mitt schema
Mån 16 feb 13:00-15:00 L5: Space and Place Syntax
VT 2015
Föreläsning Lärare: Gyözö Gidofalvi
Plats: L42
Outline:

Accessibility analysis
Space syntax analysis
Place syntax analysis
Urban Network Analysis Toolbox

Reading:

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

Ons 18 feb 13:00-17:00 LAB5: Using Markov Cellular Automata for Landuse Change Modelling
VT 2015
Datorlaboration
Plats: Nils
Fre 20 feb 13:00-15:00 L6: Spatial Data Mining
VT 2015
Föreläsning Lärare: Gyözö Gidofalvi
Plats: L21
Outline:

Traditional data mining
What is special about spatial?
Spatial data mining
- Spatial prediction
- Spatial clustering
- Spatial associations: co-locations
- Spatial outliers

Reading:

S. Shekhar and S. Chawla. Introduction to Spatial Data Mining. In Spatial Databases: A Tour. Prentice Hall, 2003. (Spatial Data Mining.pdf)

Vecka 10 2015 Visa i Mitt schema
Mån 2 mar 13:00-15:00 L7: Spatio-Temporal and Trajectory Data Mining
VT 2015
Föreläsning Lärare: Gyözö Gidofalvi
Plats: L44
Outline:

Spatio-temporal data
Spatio-temporal data mining
- Clustering
- Pattern mining
Trajectory data
Trajectory data mining
- Pattern mining
- Clustering
- Classification
- Outlier detection
Trends in data mining
Own research projects

Reading:

H. Jeung, M. L. Yiu, and C. S. Jensen. Trajectory Pattern Mining. In Computing with Spatial Trajectories, Eds. Y. Zheng, X. Zhou, Springer, 2011. (P2Ch5_Trajectory_Pattern_Mining.pdf)

Fre 6 mar 10:00-12:00 Seminarium 1
VT 2015
Seminarium Lärare: Gyözö Gidofalvi
Plats: L41

S1: Cartographic modeling and MCE

S2: Geostatistics, interpolation and GWR

S3: Cellular automata and agent-based modeling

S4: Space and place syntax

S5: Spatial data mining

Fre 6 mar 13:00-15:00 Seminarium 2
VT 2015
Seminarium Lärare: Gyözö Gidofalvi
Plats: L41

S1: Cartographic modeling and MCE

S2: Geostatistics, interpolation and GWR

S3: Cellular automata and agent-based modeling

S4: Space and place syntax

S5: Spatial data mining

Vecka 11 2015 Visa i Mitt schema
Mån 9 mar 10:00-12:00 Seminarium 3
VT 2015
Seminarium Lärare: Gyözö Gidofalvi
Plats: B21

S1: Cartographic modeling and MCE

S2: Geostatistics, interpolation and GWR

S3: Cellular automata and agent-based modeling

S4: Space and place syntax

S5: Spatial data mining

Mån 9 mar 13:00-15:00 Seminarium 4
VT 2015
Seminarium Lärare: Gyözö Gidofalvi
Plats: B21

S1: Cartographic modeling and MCE

S2: Geostatistics, interpolation and GWR

S3: Cellular automata and agent-based modeling

S4: Space and place syntax

S5: Spatial data mining