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Nationwide Forest Imputation Study (NaFIS) - blue for msu

Nationwide Forest Imputation Study (NaFIS) - blue for msu 2025

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The Nationwide Forest Imputation Study (NaFIS) report details a pilot project aimed at developing imputation mapping techniques to generate comprehensive forest composition and structure data across the U.S. The study evaluates various modeling methods, including distance metrics and neighbor selection, to assess their impact on map accuracy. Key findings indicate that while random forest models often yield the highest accuracy for predicting forest types and community composition, the choice of neighbor count (k) significantly influences model performance. The report emphasizes the importance of maintaining low k values to ensure realistic species distributions and community structures in national mapping efforts.

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