2. Geoinformatics

Geographical and earth sciences are depending on increasingly on digital spatial data attained from smart phones, social media API’s and remotely sensed images, analysed by geographical information systems (GIS) and cloud-based applications, disseminated through complex infrastructures, and visualised by and for an ever-increasing variety of users. The technologies supporting these processes are at the essential of geoinformatics

Technological skills alone, however, are not sufficient for establishments involved in the production and management of such geo-information. Owing to the rapid changes and developments in geo-information acquisition, investigation and dissemination, these organizations require scientific staff that can keep pace with and validate the relevancy of developments and the quality of the - nowadays - Big Geo Data, processes and geo-information. To tackle the challenges, you will learn to design and develop algorithms, models, and tools that can process the geo-spatial data into truthful, actionable information.

  • Geo-ontology
  • Geospatial standards
  • Geospatial analysis and modelling
  • Geospatial databases
  • Geospatial computation
  • Geospatial data sharing and interoperability
  • Geospatial web services
  • Geocomputation
  • Geovisualization
  • Health GIS
  • Spatial data quality and uncertainty
  • Virtual globes and virtual geographic environment
  • Information systems design

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