Fauna habitat modelling and mapping: A review and case study in the Lower Hunter Central Coast region of NSW

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Related collections

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The meaning and use of the area under a receiver operating characteristic (ROC) curve.

J A Hanley, B J McNeil, Marnix van Holsbeeck (1982)

A representation and interpretation of the area under a receiver operating characteristic (ROC) curve obtained by the "rating" method, or by mathematical predictions based on patient characteristics, is presented. It is shown that in such a setting the area represents the probability that a randomly chosen diseased subject is (correctly) rated or ranked with greater suspicion than a randomly chosen non-diseased subject. Moreover, this probability of a correct ranking is the same quantity that is estimated by the already well-studied nonparametric Wilcoxon statistic. These two relationships are exploited to (a) provide rapid closed-form expressions for the approximate magnitude of the sampling variability, i.e., standard error that one uses to accompany the area under a smoothed ROC curve, (b) guide in determining the size of the sample required to provide a sufficiently reliable estimate of this area, and (c) determine how large sample sizes should be to ensure that one can statistically detect differences in the accuracy of diagnostic techniques.

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Spatial prediction of species distribution: an interface between ecological theory and statistical modelling

M.P Austin (2002)

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New developments in museum-based informatics and applications in biodiversity analysis.

Catherine Graham, Simon Ferrier, Falk Huettman … (2004)

Information from natural history collections (NHCs) about the diversity, taxonomy and historical distributions of species worldwide is becoming increasingly available over the Internet. In light of this relatively new and rapidly increasing resource, we critically review its utility and limitations for addressing a diverse array of applications. When integrated with spatial environmental data, NHC data can be used to study a broad range of topics, from aspects of ecological and evolutionary theory, to applications in conservation, agriculture and human health. There are challenges inherent to using NHC data, such as taxonomic inaccuracies and biases in the spatial coverage of data, which require consideration. Promising research frontiers include the integration of NHC data with information from comparative genomics and phylogenetics, and stronger connections between the environmental analysis of NHC data and experimental and field-based tests of hypotheses.

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Author and article information

Journal

Title: Austral Ecology

Abbreviated Title: Austral Ecol

Publisher: Wiley-Blackwell

ISSN (Print): 1442-9985

ISSN (Electronic): 1442-9993

Publication date Created: November 2005

Publication date (Print): November 2005

Volume: 30

Issue: 7

Pages: 719-738

Article

DOI: 10.1111/j.1442-9993.2005.01514.x

SO-VID: 541c31af-a246-482e-80ed-747ea8993565

License:

http://doi.wiley.com/10.1002/tdm_license_1.1

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