Trends in Spatial Analysis and Modelling Decision-Support and Planning Strategies / edited by Martin Behnisch, Gotthard Meinel.

This book is a collection of original research papers that focus on recent developments in Spatial Analysis and Modelling with direct relevance to settlements and infrastructure. Topics include new types of data (such as simulation data), applications of methods to support decision-making, and inves...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Behnisch, Martin (Editor), Meinel, Gotthard (Editor)
Format: eBook
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2018.
Edition:1st ed. 2018.
Series:Geotechnologies and the Environment, 19
Springer eBook Collection.
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Online Access:Click to view e-book
Holy Cross Note:Loaded electronically.
Electronic access restricted to members of the Holy Cross Community.
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).