Reducing Global Pest Forecast Uncertainty with Text Mined Media Records

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dc.contributor.advisorRoss Meentemeyer, Chair
dc.contributor.advisorLaura Tateosian, Member
dc.contributor.advisorJean Ristaino, Member
dc.contributor.advisorChris Jones, Member
dc.contributor.advisorChelsey Walden-Schreiner, External
dc.contributor.authorSaffer, Ariel
dc.date.accepted2024-11-13
dc.date.accessioned2024-11-15T13:30:56Z
dc.date.available2024-11-15T13:30:56Z
dc.date.defense2024-10-17
dc.date.issued2024-10-17
dc.date.released2024-11-15
dc.date.reviewed2024-11-06
dc.date.submitted2024-10-29
dc.degree.disciplineGeospatial Analytics
dc.degree.leveldissertation
dc.degree.nameDoctor of Philosophy
dc.descriptionNorth Carolina State University Theses Geospatial Analytics.
dc.formatPh.D. North Carolina State University, 2024.
dc.identifier.otherdeg39843
dc.identifier.urihttps://www.lib.ncsu.edu/resolver/1840.20/44403
dc.titleReducing Global Pest Forecast Uncertainty with Text Mined Media Records
dcterms.extent1 online resource (xii, 248 pages) : illustrations, maps (some color)

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