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1.
Sci Am ; 323(3): 34, 2020 Sep 01.
Artigo em Inglês | MEDLINE | ID: mdl-39014683
2.
Sci Am ; 323(3): 26, 2020 Sep 01.
Artigo em Inglês | MEDLINE | ID: mdl-39014682
3.
Trends Ecol Evol ; 29(3): 148-57, 2014 Mar.
Artigo em Inglês | MEDLINE | ID: mdl-24565371

RESUMO

Visualisations and graphics are fundamental to studying complex subject matter. However, beyond acknowledging this value, scientists and science-policy programmes rarely consider how visualisations can enable discovery, create engaging and robust reporting, or support online resources. Producing accessible and unbiased visualisations from complicated, uncertain data requires expertise and knowledge from science, policy, computing, and design. However, visualisation is rarely found in our scientific training, organisations, or collaborations. As new policy programmes develop [e.g., the Intergovernmental Platform on Biodiversity and Ecosystem Services (IPBES)], we need information visualisation to permeate increasingly both the work of scientists and science policy. The alternative is increased potential for missed discoveries, miscommunications, and, at worst, creating a bias towards the research that is easiest to display.


Assuntos
Comunicação , Conservação dos Recursos Naturais/métodos , Apresentação de Dados , Política Pública , Simulação por Computador , Ecossistema , Geografia , Humanos , Software
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