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Urban natural resources management


Having precise estimates of our forest characteristics is important if we want to assess the status of our forests, detect change, or monitor trends. New statistical estimators enable us to improve precision by merging forest inventory data with data from a variety of remote sensing instruments but often pose computational challenges. This new tutorial and R software package, known as mase (model-assisted survey estimation) makes both old and new survey estimation tools easily accessible.