Computational Approaches for Urban Environments

This book aims to promote the synergistic usage of advanced computational methodologies in close relationship to geospatial information across cities of different scales. A rich collection of chapters subsumes current research frontiers originating from disciplines such as geography, urban planning,...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Helbich, Marco (Επιμελητής έκδοσης), Jokar Arsanjani, Jamal (Επιμελητής έκδοσης), Leitner, Michael (Επιμελητής έκδοσης)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2015.
Σειρά:Geotechnologies and the Environment ; 13
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • Computational Approaches for Urban Environments: An Editorial
  • Part I Spatial Planning and Decision-Making
  • From Fractal Urban Pattern Analysis to Fractal Urban Planning Concepts
  • Knowledge Discovery in Spatial Planning Data: A Concept for Cluster Understanding
  • Clustering Contextual Neural Gas: A New Approach for Spatial Planning and Analysis Tasks
  • Part II Housing and Real Estate
  • Hedonic House Price Modeling Based on Multilevel Structured Additive Regression
  • Simple Agents, Complex Emergent City: Agent-Based Modeling of Intraurban Migration
  • Quantifying Urban Diversity: Multiple Spatial Measures of Physical, Social and Economic Characteristics
  • Part III Urban Transportation and Mobility
  • Everyday Cycling in Urban Environments: Understanding Behaviors and Constraints in Space-Time
  • Performance Improvements for Large-Scale Traffic Simulation in MATSim
  • Part IV Remote Sensing
  • Recent Advances on 2D and 3D Change Detection in Urban Environments from Remote Sensing Data
  • Fusion of Airborne Hyperspectral and LiDAR Remote Sensing Data to Study the Thermal Characteristics of Urban Environments
  • Modeling Urban Land Use Change: Integrating Remote Sensing with Socioeconomic Data
  • Part V Urban Sensing, Social Networks and Social Media
  • Linked Activity Spaces: Embedding Social Networks in Urban Space
  • Using Non-authoritative Sources During Emergencies in Urban Areas
  • Towards a Comparative Science of Cities: Using Mobile Traffic Records in New York, London and Hong Kong
  • Epilogue.