Spatial Data Science
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Environment, Society, and SustainabilityMaster of Science
Identify and access suitable data sources for spatial projects b) Understand how to manipulate and process spatial data, including vector, raster and imagery data
Use appropriate database and similar technology for storing and querying spatial data
Process remotely sensed imagery to address environmental or social questions
Be able to identify and use appropriate algorithms for real world projects b) Successfully apply spatial analytical methods, including shallow and deep machine learning
Be able to communicate spatial data and analytical results using a) text and b) appropriate visualization methods
Employ responsible approaches to data science, including FAIR use of data and UNESCO approaches to ethical AI