Skip to Main Content
Stratifying to reduce bias caused by high nonresponse rates: A case study from New Mexico’s forest inventoryAuthor(s): Sara A. Goeking; Paul L. Patterson
Source: Res. Note RMRS-RN-59. Fort Collins, CO: U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station. 23 p.
Publication Series: Research Note (RN)
Station: Rocky Mountain Research Station
Download Publication (3.0 MB)
Related Research Highlights
Annual Inventory of New Mexico's Forests More Accurate Thanks to Stratification Key
DescriptionThe 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.
- You may send email to firstname.lastname@example.org to request a hard copy of this publication.
- (Please specify exactly which publication you are requesting and your mailing address.)
- We recommend that you also print this page and attach it to the printout of the article, to retain the full citation information.
- This article was written and prepared by U.S. Government employees on official time, and is therefore in the public domain.
CitationGoeking, Sara A.; Patterson, Paul L. 2013. Stratifying to reduce bias caused by high nonresponse rates: A case study from New Mexico’s forest inventory. Res. Note RMRS-RN-59. Fort Collins, CO: U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station. 22 p.
KeywordsForest inventory, FIA, stratification, nonresponse, bias, Interior West
- Estimators used in the New Mexico inventory: practical implications of "truly" random nonresponse within each stratum
- Using classified Landsat Thematic Mapper data for stratification in a statewide forest inventory
- Using Classified Landsat Thematic Mapper Data for Stratification in a Statewide Forest Inventory
XML: View XML