Division of Wildlife Conservation (DWC) Publication Details

An application of spatio-temporal modeling to finite population abundance prediction

• Reference: Higham, M., M. Dumelle, C. Hammond, J. Ver Hoef, and J. Wells. An application of spatio-temporal modeling to finite population abundance prediction. 2023. Journal of Agricultural, Biological and Environmental Statistics. https://doi.org/10.1007/s13253-023-00565-y
• Audiences: Scientist, Wildlife Manager
• Authors: Michael Dumelle, Carly Hammond, Matt Higham, Jay M. Ver Hoef, Jeffrey J. Wells
• Funding Sources:
• Grants:
• GMUs or Areas: 20
• Keywords: spatio-temporal finite-population block kriging. ST-FPBK, predicter, model, moose, survey, R package, forecast, data
• Link: https://doi.org/10.1007/s13253-023-00565-y (Offsite)
• Partners:
• Primary Authors: Matt Higham
• Programs: Wildlife Management
• Project Numbers:
• Publication Types: Journal Article/External Publication
• Regions: Region III - Interior and Northeastern Alaska
• Species: Moose
• Species Categories: Big Game, Mammals, Ungulates
• Title: An application of spatio-temporal modeling to finite population abundance prediction
• Topics: Wildlife Management, Population Abundance and Trends (Survey Inventory), Technique Development (e.g., population survey, breakaway snares)
• Year: 2023

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