Exploration of data for analysis using boundary line methodology

A - Papers appearing in refereed journals

Miti, C., Milne, A. E., Giller, K. E., Sadras, V. O. and Lark, R. M. 2024. Exploration of data for analysis using boundary line methodology. Computers and Electronics in Agriculture. 219, p. 108794. https://doi.org/10.1016/j.compag.2024.108794

AuthorsMiti, C., Milne, A. E., Giller, K. E., Sadras, V. O. and Lark, R. M.

The boundary line model has been proposed for interpretation of the plot of a biological response (such as crop yield) against a potentially-limiting variable from observations in a large set of scenarios across which other factors show uncontrolled variation. Under this model the upper bound of the distribution of data represents the limiting effect of the potential factor on the response. Methods have been proposed to fit this model, but we propose that an initial exploratory data analysis step is needed to evaluate evidence that (i) the model is plausible and (ii) that any limiting upper bound is exhibited by the data set (which could, in principle, not include any cases where the factor is limiting). We propose a statistic based on the density of observations in upper sections of early convex hull peels of the data plot. We evaluate this approach using various data sets, some of which have been used for boundary line analysis in previous studies.

KeywordsBoundary line; Convex hull; Standard deviation; Peel density
Year of Publication2024
JournalComputers and Electronics in Agriculture
Journal citation219, p. 108794
Digital Object Identifier (DOI)https://doi.org/10.1016/j.compag.2024.108794
Open accessPublished as ‘gold’ (paid) open access
FunderBiotechnology and Biological Sciences Research Council
Funder project or codeGrowing Health [ISP]
Growing Health (WP3) - bio-inspired solutions for healthier agroecosystems: Discovery landscapes
Publisher's version
Output statusPublished
Publication dates
Online04 Mar 2024
Publication process dates
Accepted26 Feb 2024
PublisherElsevier Sci Ltd

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