Trends in spatial analysis and modelling : decision-support and planning strategies /
| Other Authors: | , |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
Cham, Switzerland :
Springer,
[2018].
|
| Series: | Geotechnologies and the environment ;
v. 19 |
| Subjects: |
Table of Contents:
- 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).
