Abstract
As methods developers and data analysts, we often see data long after they have been collected. In some instances, no amount of clever analysis can retrieve a study that has fallen foul of poor field methods. In this chapter, we define what is meant by ‘poor field methods’, and by contrast, what constitutes ‘good’ field methods; and we describe means by which ‘poor’ field methods can be diagnosed and remedied before data collection is completed.
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© 2015 Springer International Publishing Switzerland
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Buckland, S.T., Rexstad, E.A., Marques, T.A., Oedekoven, C.S. (2015). Field Methods and Data Issues. In: Distance Sampling: Methods and Applications. Methods in Statistical Ecology. Springer, Cham. https://doi.org/10.1007/978-3-319-19219-2_4
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DOI: https://doi.org/10.1007/978-3-319-19219-2_4
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-19218-5
Online ISBN: 978-3-319-19219-2
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