>>>Theme & Topics -Theme -Topics

Conference Theme:

Meet The Challenge of Geographical Big Data

Conference Topics:

The conference will focus on, but not limit to, the following cutting-edge topics:

  1. Geospatial data mining and knowledge discovery
    • Geospatial or spatiotemporal data mining algorithms
    • Spatiotemporal data reasoning
    • Spatial statistics and data mining
    • Visual spatial data mining
    • Geographical stream and video mining
    • Data cleaning & preprocessing methods
    • Feature extraction, selection and dimension Reduction
    • Extraction knowledge from Big Data
    • Mining on volunteered geographic data
    • Mining semi-structured Data
    • Anomaly & outlier detection
    • Mining spatial data sets with constraints
    • Mining with Data Clouds
    • Mining Complex Datasets
    • Mining on Emerging Architectures
  2. Geographical process modeling and Decision
    • Spatiotemporal analysis and modeling methods
    • Spatial decision support systems
    • Spatial data warehouse and spatial OLAP
    • Modeling and analysis of digital elevation or topography
    • Modeling uncertainty in geo-spatial information
    • Virtual modeling of large geographic areas
    • Time series and non-stationarity analysisindex
    • Time-geography modeling
    • Spatial query processing and optimization
    • Location-based social and behavioral modeling
    • Model coupling, integration and applications
    • Modeling in Virtual Geographical Environment
    • Scale effect and scalability on Geographical Modeling
  3. Geospatial Data Services, Sever GIS and Geographical Cloud Computation
    • Geospatial cloud services reference models and standardization
    • Geographical web search engines and information retrieval
    • Geo-spatial interoperability and data integration
    • Geo-spatial web service and Server GIS architecture
    • Geoprocessing on the web
    • Geospatial web portal and cloud portal
    • Geospatial Cloud system design with FPGA, GPU, APU
    • Geospatial service monitoring, scheduling, allocation and control
    • Geospatial service discovery, matching and composition/aggregation
    • Ontology or agent techniques for web service
    • Semantic analysis for data mining problem
    • Geospatial web services and quality of service (QoS)
    • Workflow-based web service orchestration and scheduling
    • Cloud-based geographical problem-solving environment
    • Geographical knowledge discovery and decision cloud service
    • Distributed, parallel, and collaborative geo-processing
    • Geographical data cloud and knowledge service cloud
    • Geospatial semantic web and ontology-based knowledge base
    • Intelligent location sensors and geo-spatial sensor web
    • Networking technologies for data centers, intracloud and interclouds
    • Big Data management and Green data centers in cloud environment
    • Cloud resource management, reservation, scheduling, and load balancing
    • Cloud-based knowledge discovery and decision service
    • Wireless and mobile GIS and Mobile service
    • Location-based services (LBS)
  4. Geospatial visualization, and virtual geographical environment
    • 2D and 3D information acquisitions, processing, modeling and visualization
    • Representation and visualization of geo-spatial data
    • Distributed simulations and sensor webs
    • 3D Simulation on dynamic geo-processes
    • Exploratory spatial data analysis and geo-visualization
    • Geo-visualization and geo-visual analytics
    • 3D nature scene modeling and rendering with high complexity
    • Distributed/Collaborative interactive simulation
    • Visualization of geospatial uncertainty
    • Digital Earth and virtual geographic environment
    • Distributed, parallel, and GPU algorithms for GIS
    • Human-computer interaction and visualization
    • LiDAR and object modeling based on point cloud
  5. Remote Sensing and Earth Observation System
    • Earth observation sensor networks and applications
    • Acquisition and processing of remotely sensed data
    • Calibration and validation of remotely sensed data
    • Geographical knowledge extraction from remotely sensing
    • Intelligent sensors/sensor fusion and assimilation
    • Geosensor specialized networks
    • Sensor information management systems
    • Remote sensing image processing and pattern recognition
    • Automated object extraction and database updates from imagery
    • Processing and application of high-resolution and hyperspectral imagery
    • Radar remote sensing (SAR, InSAR, PolSAR)
    • LIDAR for generating digital elevation models and 3D modeling
  6. Applications of integrated Geographical information technology
    • Application in natural resource investigation and management
    • Application in land use and land cover management
    • Application in agricultural operation and management
    • Application in coastal and Wetlands management
    • Application in urban and built Environment
    • Application in traffic and transportation management
    • Government and public GIS
    • Integrated application in Smart city
    • Culture heritage documentation and 3D reconstruction
    • Application in climate change and the global environment
    • GIS for the environment, ecology and health monitoring and governance
    • Environmental criminology and crime simulation
    • Application in geology and hydrogeology
    • Application in hazard simulation and assessment, risk management and disaster response

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