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dc.rights.licenseCC-BY-NC-ND
dc.contributor.advisorQuak, Wilco
dc.contributor.authorKagie, Lars
dc.date.accessioned2024-07-31T23:04:37Z
dc.date.available2024-07-31T23:04:37Z
dc.date.issued2024
dc.identifier.urihttps://studenttheses.uu.nl/handle/20.500.12932/47034
dc.description.sponsorshipUtrecht University
dc.language.isoEN
dc.subjectEen workflow in Python is geschreven voor het voorspellen van de dag van bloei voor loofbomen in het Oosten van de US.
dc.titleCreating a workflow in Python to predict leaf emergence
dc.type.contentMaster Thesis
dc.rights.accessrightsOpen Access
dc.subject.courseuuGeographical Information Management and Applications (GIMA)
dc.thesis.id35634


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