From Sky to Earth: Data Science Methodology Transfer
2017
We describe here the parallels in astronomy and
earth sciencedatasets, their analyses, and the opportunities for methodology transfer from
astroinformaticsto
geoinformatics. Using example of hydrology, we emphasize how meta-data and ontologies are crucial in such an undertaking. Using the infrastructure being designed for EarthCube - the
Virtual Observatoryfor the
earth sciences- we discuss essential steps for better transfer of tools and techniques in the future e.g.
domain adaptation. Finally we point out that it is never a one-way process and there is enough for
astroinformaticsto learn from
geoinformaticsas well.
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