Trends in Spatial Analysis and Modelling Decision-Support and Planning Strategies /

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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Behnisch, Martin (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Meinel, Gotthard (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2018.
Έκδοση:1st ed. 2018.
Σειρά:Geotechnologies and the Environment, 19
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • 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).