Forestry data are complex—they are collected across long time periods, at different resolutions, and include multiple types and sources. Forestry professionals are increasingly relying on new technologies to make informed decisions using these data. This article describes nine practices that forestry professionals and their organizations can take to improve their everyday forest data analysis. By integrating these practices into their work, forestry professionals can sharpen their data management and analytical skills and contribute to more effective decisions made by their organizations.

中文翻译：

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改善您的日常森林数据分析的九个技巧

林业数据非常复杂-它们以不同的分辨率跨长时间收集，并且包含多种类型和来源。林业专业人员越来越依靠新技术来利用这些数据做出明智的决定。本文介绍了林业专业人员及其组织可以用来改善日常森林数据分析的九种方法。通过将这些实践整合到他们的工作中，林业专业人员可以提高他们的数据管理和分析技能，并为组织做出更有效的决策做出贡献。