Geospatial data science  

Methods and techniques of geospatial data science and its role in Geoinformatics and Earth Observation. Upon completion of this course, it is expected that the learner will be able to: (1) identify core methods of different disciplines contributing to spatial data science, (2) select and employ the most appropriate analytical methods depending on the research question and the type of geospatial data required to address that question, (3) Synthesize and present high-quality analytical results involving spatial data.
Presential
English
Geospatial data science
English

Funded by the European Union. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or HaDEA. Neither the European Union nor the granting authority can be held responsible for them. The statements made herein do not necessarily have the consent or agreement of the ASTRAIOS Consortium. These represent the opinion and findings of the author(s).