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- W1450156422 abstract "The USDA Forest Service’s Forest Inventory and Analysis (FIA) Program applies specific sampling and analysis procedures to estimate a variety of forest attributes. FIA’s Interior West region uses post-stratification, where strata consist of forest/nonforest polygons based on MODIS imagery, and assumes that nonresponse plots are distributed at random across each stratum. The sample of New Mexico’s forests during 2005-2013 did not meet this assumption due to a large number of private landowners who denied permission to access plots on their properties. We developed a modified stratification scheme to minimize bias in our estimates of forest attributes. The purpose of this paper is twofold: first, to document the customized stratification methods used for the New Mexico forest inventory of 2005-2013, and second, to provide sufficient instructions for application of this method to other states or inventories where high nonresponse rates occur." @default.
- W1450156422 created "2016-06-24" @default.
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- W1450156422 date "2013-01-01" @default.
- W1450156422 modified "2023-10-14" @default.
- W1450156422 title "Stratifying to reduce bias caused by high nonresponse rates: A case study from New Mexico’s forest inventory" @default.
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- W1450156422 doi "https://doi.org/10.2737/rmrs-rn-59" @default.
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