Making inference with messy (citizen science) data: when are data accurate enough and how can they be improved?-Reference-Cited by-同舟云学术

Making inference with messy (citizen science) data: when are data accurate enough and how can they be improved?

Published:2019-02-19 Issue:2 Volume:29 Page:
ISSN:1051-0761
Container-title:Ecological Applications
language:en
Short-container-title:Ecol Appl

Author:

Clare John D. J.¹,Townsend Philip A.¹,Anhalt‐Depies Christine¹,Locke Christina²,Stenglein Jennifer L.²,Frett Susan²,Martin Karl J.³,Singh Aditya¹,Van Deelen Timothy R.¹,Zuckerberg Benjamin¹

Affiliation:

1. Department of Forest and Wildlife Ecology University of Wisconsin–Madison 1630 Linden Drive Madison Wisconsin 53706 USA

2. Office of Applied Sciences Wisconsin Department of Natural Resources Madison Wisconsin 53716 USA

3. Division of Cooperative Extension University of Wisconsin Extension Madison Wisconsin 53706 USA

Publisher

Wiley

Subject

Ecology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/eap.1849

Reference54 articles.

1. How reliable are your data? Verifying species identification of road-killed mammals recorded by road maintenance personnel in São Paulo State, Brazil

2. A Field Evaluation of Distance Measurement Error in Auditory Avian Point Count Surveys

3. Statistical solutions for error and bias in global citizen science datasets

4. Citizen Science: A Developing Tool for Expanding Science Knowledge and Scientific Literacy

5. Data validation in citizen science: a case study from Project FeederWatch

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