Modeling spatially biased citizen science effort through the eBird database-Reference-Cited by-同舟云学术

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Modeling spatially biased citizen science effort through the eBird database

Published:2021-06-15 Issue: Volume: Page:
ISSN:1352-8505
Container-title:Environmental and Ecological Statistics
language:en
Short-container-title:Environ Ecol Stat

Author:

Tang Becky^ORCID,Clark James S.,Gelfand Alan E.

Funder

National Science Foundation

National Aeronautics and Space Administration

Ministère de l’Enseignement Supérieur de la Recherche et de l’Innovation

Publisher

Springer Science and Business Media LLC

Subject

Statistics, Probability and Uncertainty,General Environmental Science,Statistics and Probability

Link

https://link.springer.com/content/pdf/10.1007/s10651-021-00508-1.pdf

Reference56 articles.

1. Agarwal DK, Gelfand AE, Silander JA (2002) Investigating tropical deforestation using two-stage spatially misaligned regression models. J Agric Biol Environ Stat 7(3):420

2. Banerjee S, Carlin BP, Gelfand AE (2014) Hierarchical modeling and analysis for spatial data. CRC Press, Boca Raton

3. Beck J, Böller M, Erhardt A, Schwanghart W (2014) Spatial bias in the gbif database and its effect on modeling species’ geographic distributions. Ecol Inform 19:10–15

4. Bird TJ, Bates AE, Lefcheck JS, Hill NA, Thomson RJ, Edgar GJ, Stuart-Smith RD, Wotherspoon S, Krkosek M, Stuart-Smith JF et al (2014) Statistical solutions for error and bias in global citizen science datasets. Biol Conserv 173:144–154

5. Boakes EH, McGowan PJ, Fuller RA, Chang-qing D, Clark NE, O’Connor K, Mace GM (2010) Distorted views of biodiversity: spatial and temporal bias in species occurrence data. PLoS Biol 8(6)

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