Document of bibliographic reference 287730

BibliographicReference record

Type
Bibliographic resource
Type of document
Journal article
BibLvlCode
AS
Title
A software tool for elicitation of expert knowledge about species richness or similar counts
Abstract
Elicitation of expert knowledge has proven to be useful in a variety of disciplines including ecology, conservation management and policy. Here we report the development of a protocol and software tool that aids elicitation of expert knowledge of complex systems of count data, focusing on a case study of elicitation of species richness estimates for coral reefs. The software uses newly developed elicitation procedures to elicit probability distributions of counts in a structured and ordered protocol. We present a novel tool that has considerable advantage over more classical “survey” type methods for canvassing expert opinion, including the ability to produce rapid feedback based on fitted statistical distributions (thereby ensuring that expert's opinions are captured with accuracy) and a means of estimating credible bounds for estimates (essential when few experts are available). It is user friendly, based on open source software (R and tcl/tk), cross platform (Windows and Mac OSX) and the code can be easily modified to tailor the software to a range of applications.
WebOfScience code
https://www.webofscience.com/wos/woscc/full-record/WOS:000300266200001
Bibliographic citation
Fisher, R.; O'Leary, R.A.; Low-Choy, S.; Mengersen, K.; Caley, M.J. (2012). A software tool for elicitation of expert knowledge about species richness or similar counts. Environ. Model. Softw. 30: 1-14. https://dx.doi.org/10.1016/j.envsoft.2011.11.011
Is peer reviewed
true

Authors

author
Name
Rebecca Fisher
author
Name
Rebecca O'Leary
author
Name
Samantha Low-Choy
author
Name
Kerrie Mengersen
author
Name
M. Julian Caley

Links

referenced creativework
type
DOI
accessURL
https://dx.doi.org/10.1016/j.envsoft.2011.11.011

Document metadata

date created
2017-08-08
date modified
2018-02-13