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Part 1: Towards a better understanding of settlements and infrastructure
Chapter 1. Reverse engineering of land cover data: Machine learning for data replication in the spatial and temporal domains (Maclaurin)
Chapter 2. Spatial analysis requires a different way of thinking: the problem of spatial heterogeneity (Jiang)
Part 2: Geographic data mining
Chapter 3: Survey on spatiotemporal and semantic data mining (Yuan)
Chapter 4. Spatial clustering with SOM and GeoSOM (Bação)
Chapter 5. Spatial analysis with self-organizing neural networks: SPAWNN Toolkit (Hagenauer)
Part 3: Spatial modelling, system dynamics and geosimulation
Chapter 6. The evolution of the land development industry. An agent-based simulation model? (Modified re-print) (Almagor)
Chapter 7. Dynamic relationships between human decision making and socio-natural systems (Koch)
Chapter 8. Lessons and challenges in land change modelling derived from synthesis of cross-case comparisons (Gilmore Pontius Jr.)
Part 4: Multi-scale representation and analysis
Chapter 9. Applications of 3D city models for a better understanding of the built environment (Willenborg)
Chapter 10. An automatic approach for generalization of land-cover data from topographic data (Thiemann)
Chapter 11. Epilogue (Pumain).

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