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October 1 - 5, 2018, Delft, The Netherlands

The symposium covered a broad range of topics, in line with the terms of reference of the WG:

Symposium Themes

OGC:: Open geospatial standards

  • Latest advances to OGC standards - OGC Technology Trends; WFS 3.0, Big Data, Linked Data
  • National and regional implementations of OGC standards - IMGeo; CityGML in Rotterdam (ESPRESSO pilots), incl Indoor pilots; FCP1, ESPRESSO (Static and Fast moving data / Static using WFS, Fast moving using SensorThinsAPI)
  • Industry take up of OGC standards - Avineon and 3D City Models; Virtual City Systems 3D City Models; Smart Cities picking up on 3D City Models
  • Harmonisation and integration of OGC standards - in Smart Cities; results of plugfests
  • Collaborations between OGC and other international and standardization bodies (e.g. OGC and ISO) - OCG and bSI (IDBE); OGC and W3C (SDWWG); OGC and ISO (TC211, TC84, IEC); OGC and ITU SG20 (Smart Cities)
  • Future initiatives and activities - FCP2, ESPRESSO outcomes; Underground Pilots; Testbed 13 results, testbed 14

WG 1: Multi-dimensional Modelling

  • Topological and geometric data structures
  • Spatiotemporal data models and structures
  • Multiple representations and cartographic generalisation
  • Digital terrain modelling
  • Indoor modelling of 3D buildings
  • Spatial data formats and standards

WG 2: Ontologies, Semantics, and Knowledge Representation for Geospatial Information

  • Ontologies of space, time, processes, and events
  • Geospatial semantics
  • Semantic information extraction, analysis, representation, and visualization
  • Semantic enrichment and semantic annotation of geospatial information
  • Geosemantic web
  • New applications of ontologies and semantics in domains such as disaster Management, urban modeling, mobility, and architecture

WG 3: Spatial Data Analysis, Statistics and Uncertainty Modelling

  • VGI and official geospatial data integration and validation 
  • Quality assessment in GSN, VGI, Social networks and crowd source data 
  • Quality assessment in multidimensional geospatial data 
  • Spatial statistics for multidimensional geospatial data and analysis 
  • Uncertainty assessment in collection, integration and analysis of geospatial big data 
  • Uncertainty assessment in MCDM and SDSS 
  • Uncertainty modeling in spatial data mining and spatial big data mining 
  • Uncertainty modeling in spatial information fusion 
  • Uncertainty assessment in multidimensional geospatial analyses 
  • Uncertainty modeling in smart city management 
  • Uncertainty modeling in mobile GIS and Ubiquitous GIS 
  • Artificial intelligence in smart geospatial analyses and validation 
  • Smart spatial analyses for disaster management (With some emphases on Kermanshah Earthquake, Iran on Nov. 12, 2017) and their uncertainty management

WG 4: Collaborative Crowdsourced Cloud Mapping

  • Collaborative geospatial environments and services for managing crowdsourced (citizen science) spatiotemporal data
  • Methods for assessing/improving the quality and usability of crowdsourced data 
  • Data and metadata models for crowdsourced data
  • Social, privacy and organizational issues related to crowdsourcing, cloud-based geo-services, collaborative systems, participative platforms
  • Human-Machine Interaction (for Participative Mapping Included)
  • Collaborative Crowdsourced Cloud Mapping and humanitarian/ SDG agendas
  • The future of Volunteered Geographic Information (VGI) and crowdsourcing
  • OpenStreetMap: applications, issues and needs

WG 5: Indoor/Outdoor Seamless Modelling, LBS and Mobility

  • Indoor mapping sensors and systems
  • Indoor modelling
  • Indoor localization
  • Indoor/outdoor seamless navigation
  • Location-based services
  • Standards for indoor spatial information
  • Emergency response and evacuation
  • Evaluation of indoor spatial information

WG 6: SDI: Internet of Things and Spatial Decision Support

  • Theories, frameworks, and paradigms of geospatial applications of the IoT
  • Advancements in sensor networks and integration for geospatial applications
  • Geoinformation search, retrieval, sharing and representation from IoT, including multi-level spatial data infrastructure and web services
  • Spatial decision support systems with IoT
  • AI and machine learning with IoT
  • IoT, Big Data and Analytics: Challenges, solutions and potential
  • Geospatial applications of IoT in urban, ecological, health, business and agricultural systems
  • Geospatial education and capacity building efforts with IoT
  • Ethical and privacy considerations of IoT

WG 7: Geo-Data Management

  • Big geospatial data management
  • Multi-dimensional databases
  • Spatio-temporal and trajectory data management
  • Multi-resolution and discrete geographic grid systems
  • Data integration / BIM-GIS data integration

WG 8: GeoComputation and GeoSimulation

  • Machine learning methods for big spatio-temporal data
  • Integrating agent based modelling and big data
  • Validation of agent based models
  • GeoComputational methods for big spatio-temporal data
  • Real time GeoSimulation
  • High performance/cloud/parallel computing methods for GeoComputation /GeoSimulation
  • Applications of GeoSimulation and GeoComputation

WG 9: Geovisualization, Augmented and Virtual Reality

  • Human factors in geovisualization
  • Augmented and virtual reality
  • Evaluations of geovisualization/AR/VR design
  • Spatial cognition in geovisualization/AR/VR 
  • User-centered research and applications in geovisualization/AR/VR 
  • Asssessments of geovisualization/AR/VR methods and techniques 
  • Open source and open content geovisualization/AR/VR development 
  • Novel use cases and applications of geovisualization/AR/VR 
  • Conceptual and applied implications of the 
  • Digital Earth Visualization and analysis of urban big data and smart cities 
  • Geovisualization/AR/VR in Geodesign

WG 10: Advanced Geospatial Applications for Smart Cities and Regions

  • Spatial information challenges in modelling urban air quality, noise mapping, micro-climate/heat islands, citizens’ health
  • Data models for estimation/simulation/co-simulation of energy demand and supply, exploitation of local renewable energies, 3D solar cadastres;
  • Mobility: transportation, logistics, transport-oriented development;
  • Socio-economic and legal aspects of 3D cadastre, population growth/decline, land use and soil consumption;
  • Emergency response and planning: disaster mapping and prevention/relief, public safety, cascading effects due to infrastructure failures;
  • Tourism-related applications with focus on virtual tourism, web-based and mobile applications;

ICWG III/IVb and WG 4: Geospatial Big Data and Urban Studies

  • Urban data models for the representation of geospatial big data
  • Geospatial urban big data analytics and knowledge discovery
  • Structured and unstructured big data quality for urban planning and development 
  • Applications of sensor data in urban studies
  • Studying the urban environment using remotely sensed data
  • Uncertainty in remotely sensed urban big data
  • Fusion and analysis of big data for urban smart cities
  • Examples of city and urban studies on geospatial big data
  • City dashboards for spatial planning and citizen engagement
  • Urban data visualisation including virtual and augmented reality
ICWG IV/III: Global Mapping: Updating Verification and Interoperability
  • Initiatives and progresses in processing, updating and verification of global datasets, such as topographic vector datasets, digital terrain models, ortho-images and land cover datasets;
  • Concepts, tools, and platforms for global datasets sharing, integration and management;
  • Auto/semi-automatic processing of large volumes of global datasets using machine learning, big data analytics, cloud computing and other technologies;
  • Developments on collaborative and dynamic global geographic information services to meet various analysis and application needs;
  • Applications of global geographic information integrated with other global or national social economic datasets to support United Nation’s SDG Indicators;
  • International validation of global land cover data products.