CALL FOR PAPERS: GeoInformatica, Special Issue on Spatial Computing for Urbanization Research

Call for papers for GeoInformatica: Special Issue on Spatial Computing for Urbanisation Research. This will be a special issue edited by Martin Werner, Xiao Xiang Zhu and Hannes Taubenböck. The search is for high quality submissions related to how spatial data and spatial computing is being used in order to understand urbanization and urban dynamics.


This special section addresses the development and application of geospatial computing technology for new findings in urban geography. This includes techniques with a limited spatial extent covering single cities as well as more global perspectives on urbanization. The list of topics includes, but is not limited to

  • Big Data Infrastructures for Urban Analytics
  • Mining and Visual Analytics of Urban Data
  • Transferrable Models for Large Scale Urban Analysis
  • Parallel Scalable Algorithms for Urban Analytics (Hadoop, Spark, OpenMP, MPI, etc.)
  • Urban Sensor Network Data Acquisition, Processing, and Analytics
  • Multimodal data fusion in Urban Regions
  • Location-based Services and Interactive Applications for Urban Regions
  • Understanding Urban Transportation Systems
  • Semantic Technologies and Smart Cities
  • Ontologies for Unified Urban Studies
  • Trajectory and Movement Analysis
  • Crowd-Sourcing
  • Social Network Analysis
  • Classification or Urban Regions (e.g,. Local Climate Zones, Building Functions)
  • Semantic Segmentation of Remote Sensing Imagery for Urban Mapping
  • Acquisition, Management, and Classification of 3D/4D data (e.g., point clouds, city models, change detection, etc.)
  • Urban Applications from Data (Urban Planning and Design, Urban Life, Mobility and Public Transport, Environmental Aspects)

Application deadlines:

  • Deadline for submissions: December 15th, 2018 
  • Decision / First round of reviews: March 15th, 2019 
  • Minor Revisions Due: April 15th, 2019 
  • Camera Ready: May 15th, 2019 

Additional information:



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