Exploring Uncertainty in Canine Cancer Data Sources Through Dasymetric Refinement

In spite of the potentially groundbreaking environmental sentinel applications, studies of canine cancer data sources are often limited due to undercounting of cancer cases. This source of uncertainty might be further amplified through the process of spatial data aggregation, manifested as part of t...

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Detalles Bibliográficos
Autores principales: Boo, Gianluca, Leyk, Stefan, Fabrikant, Sara I., Graf, Ramona, Pospischil, Andreas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2019
Materias:
Veterinary Science
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6399139/
https://www.ncbi.nlm.nih.gov/pubmed/30863753
http://dx.doi.org/10.3389/fvets.2019.00045

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6399139/
https://www.ncbi.nlm.nih.gov/pubmed/30863753
http://dx.doi.org/10.3389/fvets.2019.00045

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