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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Bibliographic Details
Main Authors: Gianluca Boo, Stefan Leyk, Sara I. Fabrikant, Ramona Graf, Andreas Pospischil
Format: Article
Language:English
Published: Frontiers Media S.A. 2019-02-01
Series:Frontiers in Veterinary Science
Subjects:
Online Access:https://www.frontiersin.org/article/10.3389/fvets.2019.00045/full