Abstract Details
Activity Number:
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344
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Type:
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Contributed
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Date/Time:
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Tuesday, August 5, 2014 : 10:30 AM to 12:20 PM
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Sponsor:
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Section on Statistics and the Environment
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Abstract #311457
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View Presentation
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Title:
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Incorporating Volunteered Geographic Information into Land Cover Monitoring
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Author(s):
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John Lombardi*+ and Stephen Stehman
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Companies:
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SUNY ESF and SUNY ESF
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Keywords:
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area estimation ;
propensity scores ;
model-assisted estimation ;
design-based inference
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Abstract:
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Volunteered geographic information (VGI) has grown in popularity as a source of land-cover data. A primary application of VGI in land-cover monitoring is estimating area of different land-cover classes. Most VGI is not collected via a probability sampling design, so questions of how to incorporate these data in a statistically rigorous manner must be resolved. We explore two options: 1) VGI locations are treated as the sample and estimators are based on propensity scores in lieu of estimation weights derived from inclusion probabilities, and 2) a probability sample has been selected separate from the VGI locations and a model-assisted estimators is constructed in which the VGI data are used to create an auxiliary variable. The estimators are evaluated for a case study focusing on estimating land-cover area in New York. Web sites (e.g., Panoramio) were used to identify VGI locations, and a population of land-cover data was obtained from the National Land Cover data. When volunteer data are plentiful (e.g. populated areas), propensity scores yielded area estimators with small bias. For model-assisted estimation, a kriging approach proved successful at reducing standard errors.
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Authors who are presenting talks have a * after their name.
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