Data reporting and visualization in ecology

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• dc.contributor.author Greenacre, Michaelca
• dc.contributor.other Universitat Pompeu Fabra. Departament d'Economia i Empresa
• dc.date.accessioned 2017-07-26T10:50:10Z
• dc.date.available 2017-07-26T10:50:10Z
• dc.date.issued 2017-02-01
• dc.date.modified 2017-07-23T02:18:07Z
• dc.description.abstract The reporting and graphing of ecological data and statistical results often leave a lot to be desired. One reason can be a misunderstanding or confusion of some basic concepts in statistics such as standard deviation, standard error, margin of error, confidence interval, skewness of distribution and correlation. The implications of having small sample sizes are also often glossed over. In several situations, statistics and associated graphical representations are made for comparing groups of samples, where the issues become even more complex. Here, I aim to clarify these basic concepts and ways of reporting and visualizing summaries of variables in ecological research, both for single variables as well as pairs of variables. Specific recommendations about better practice are made, for example describing precision of the mean by the margin of error and bootstrapping to obtain confidence intervals. The role of the logarithmic transformation of positive data is described, as well as its implications in the reporting of results in multiplicative rather than additive form. Comments are also made about ordination plots derived from multivariate analyses, such as principal component analysis and canonical correspondence analysis, with suggested improvements. Some data sets from this Kongsfjord special issue are amongst those used as examples.
• dc.format.mimetype application/pdfca
• dc.identifier https://econ-papers.upf.edu/ca/paper.php?id=1558
• dc.identifier.citation
• dc.identifier.uri http://hdl.handle.net/10230/32634
• dc.language.iso eng
• dc.relation.ispartofseries Economics and Business Working Papers Series; 1558
• dc.rights L'accés als continguts d'aquest document queda condicionat a l'acceptació de les condicions d'ús establertes per la següent llicència Creative Commons
• dc.rights.accessRights info:eu-repo/semantics/openAccess
• dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/3.0/es/
• dc.subject.keyword confidence interval
• dc.subject.keyword confidence plot
• dc.subject.keyword logarithmic transformation
• dc.subject.keyword margin of error
• dc.subject.keyword ordination
• dc.subject.keyword skewness
• dc.subject.keyword standard deviation
• dc.subject.keyword standard error.
• dc.subject.keyword Statistics, Econometrics and Quantitative Methods
• dc.title Data reporting and visualization in ecologyca
• dc.title.alternative
• dc.type info:eu-repo/semantics/workingPaper