Increasing the accuracy of crowdsourced information on land cover via a voting procedure weighted by information inferred from the contributed data

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Increasing the accuracy of crowdsourced information on land cover via a voting procedure weighted by information inferred from the contributed data

Simple consensus methods are often used in crowdsourcing studies to label cases when data are provided by multiple contributors. A basic majority vote rule is often used. This approach weights the contributions from each contributor equally but the contributors may vary in the accuracy with which th...

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Bibliographic Details
Main Authors:	Foody, Giles, See, Linda, Fritz, Steffen, Moorthy, Inian, Perger, Christoph, Schill, Christian, Boyd, Doreen
Format:	Article
Language:	English
Published:	MDPI 2018
Subjects:	crowdsourcing; volunteered geographic information (VGI); ensemble; classification accuracy; latent class analysis
Online Access:	https://eprints.nottingham.ac.uk/50075/

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