Trends in Spatial Analysis and Modelling
-15%
portes grátis
Trends in Spatial Analysis and Modelling
Decision-Support and Planning Strategies
Behnisch, Martin; Meinel, Gotthard
Springer International Publishing AG
11/2017
214
Dura
Inglês
9783319525204
15 a 20 dias
4666
Descrição não disponível.
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 (Bacao).- 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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Developments in Spatial Analysis;Settlements and Infrastructure;Spatial Modeling;Spatial Planning;Spatial Planning Data;landscape/regional and urban planning
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 (Bacao).- 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).
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
