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Making inference with messy (citizen science) data: when are data accurate enough and how can they be improved?
Clare, John D J; Townsend, Philip A; Anhalt-Depies, Christine; Locke, Christina; Stenglein, Jennifer L; Frett, Susan; Martin, Karl J; Singh, Aditya; Van Deelen, Timothy R; Zuckerberg, Benjamin.
Afiliação
  • Clare JDJ; Department of Forest and Wildlife Ecology, University of Wisconsin-Madison, 1630 Linden Drive, Madison, Wisconsin, 53706, USA.
  • Townsend PA; Department of Forest and Wildlife Ecology, University of Wisconsin-Madison, 1630 Linden Drive, Madison, Wisconsin, 53706, USA.
  • Anhalt-Depies C; Department of Forest and Wildlife Ecology, University of Wisconsin-Madison, 1630 Linden Drive, Madison, Wisconsin, 53706, USA.
  • Locke C; Office of Applied Sciences, Wisconsin Department of Natural Resources, Madison, Wisconsin, 53716, USA.
  • Stenglein JL; Office of Applied Sciences, Wisconsin Department of Natural Resources, Madison, Wisconsin, 53716, USA.
  • Frett S; Office of Applied Sciences, Wisconsin Department of Natural Resources, Madison, Wisconsin, 53716, USA.
  • Martin KJ; Division of Cooperative Extension, University of Wisconsin Extension, Madison, Wisconsin, 53706, USA.
  • Singh A; Department of Forest and Wildlife Ecology, University of Wisconsin-Madison, 1630 Linden Drive, Madison, Wisconsin, 53706, USA.
  • Van Deelen TR; Department of Forest and Wildlife Ecology, University of Wisconsin-Madison, 1630 Linden Drive, Madison, Wisconsin, 53706, USA.
  • Zuckerberg B; Department of Forest and Wildlife Ecology, University of Wisconsin-Madison, 1630 Linden Drive, Madison, Wisconsin, 53706, USA.
Ecol Appl ; 29(2): e01849, 2019 03.
Article em En | MEDLINE | ID: mdl-30656779
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Ecologia / Confiabilidade dos Dados Tipo de estudo: Guideline / Prognostic_studies Idioma: En Revista: Ecol Appl Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Estados Unidos
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Ecologia / Confiabilidade dos Dados Tipo de estudo: Guideline / Prognostic_studies Idioma: En Revista: Ecol Appl Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Estados Unidos