In this symposium we aim to address urban issues of spatial data quality, as they relate to Artificial Intelligence (AI) and in the presence of big data. Deep learning requires high quality data to result in high quality results. In order to tune the workshop, we like to focus on one specific study area, and for the GSW 2021 the target is the city of Dubai, being a modern city with an old core that is rapidly developing and where both 2- and 3-dimensional spatial information can be collected. Such an urban area is of interest in scaling from the household through the neighborhood to the whole city and its environment, within-city spatial variability and uses of data for decision support. In the frame of the workshop also the big data companies, such as google, will be invited to participate. We further see scope for having a stakeholder event where typical governmental and planning agencies will be invited. Finally, we aim to have specific attention to ethical issues of spatial data quality, like questioning the fitness for specific uses.


Prof. Alfred Stein, University of Twente, The Netherlands

Prof. W. Shi, Hong Kong Polytechnical University, Hong Kong

Prof. M. Delavar, University of Tehran, Iran


The workshop aims to bring together researchers involved in different topics related to Spatial Data Quality, from the data themselves, through the methodologies towards the applications in its widest sense. A non-exhaustive list of points of attention in this workshop are

  • Spatial data quality in space and time
  • Spatial data quality in relation to Big Data
  • Artificial Intelligence
  • Voluntary Geographical Information
  • Uncertainty modeling
  • Spatial-temporal data mining
  • Spatial information fusion
  • Multidimensional geospatial data and analyses
  • Smart city management
  • Uncertainty assessment
  • Remote sensing images registration and classification
  • Geospatial and environmental analyses
  • Multi-criteria decision making and spatial decision support system
  • Spatial cognition
  • Geo-ontologies
  • Uncertainty propagation in spatial analyses
  • Error assessment and propagation in DEMs/DSMs/DTMs       

Scientific Committee

  • Dr. Christine Pohl, University of Osnabrück, Germany
  • Prof. Mike Goodchild , University of California, USA
  • Prof. Cyril de Runz, Université de Reims Champagne-Ardenne, France
  • Prof. Cidália Maria Parreira da Costa Fonte, Universitade Coimbra, Portugal
  • Dr. Gerhard Navratil, TU Wien, Austria
  • Prof. Xiaohua Tong, Tongji University, China
  • Prof. Alexis Comber, University of Leeds, UK
  • Prof. Shortridge Ashton, Michigan State University, USA
  • Dr. Rodolphe Devillers, Memorial University of Newfoundland, Canada
  • Dr. Ana-Maria Raimond, IGN, France
  • Prof. Giles Foody, University of Nottingham, UK
  • Prod. Kirsi-Kanerva Virrantaus, Aalto University, Finland