Primary citation

To cite Biodiverse or acknowledge its use, cite this publication as follows, substituting the version of the application that you used for "Version 0.14".

• Laffan, S.W., Lubarsky, E. & Rosauer, D.F. (2010) Biodiverse, a tool for the spatial analysis of biological and related diversity. Ecography. Vol 33, 643-647 (version 0.14).

(An alternate link for general access is http://handle.unsw.edu.au/1959.4/45539 ).

Publications using Biodiverse

• Bickford, S.A., Laffan, S.W., de Kok, R. & Orthia, L. (2004) Spatial analysis of taxonomic and genetic patterns and their potential for understanding evolutionary histories. Journal of Biogeography, 31, 1715-1733.

• Bickford, S.A. & Laffan, S.W. (2006) Multi-extent analysis of the relationship between pteridophyte species richness and climate. Global Ecology and Biogeography, 15, 588-601.

• Crisp, M.D., Laffan, S., Linder, H.P. & Munro, A. (2001) Endemism in the Australian Flora. Journal of Biogeography, 28, 183-198.

• Di Virgilio, G., Laffan, S.W. & Ebach, M.C. (in press) Fine scale quantification of floral and faunal breaks and their geographic correlates, with an example from south-eastern Australia. Journal of Biogeography. Accepted 16Mar2012. doi:10.1111/j.1365-2699.2012.02739.x

• Gonzalez-Orozco, C.E., Laffan, S.W., Miller, J. (2011) Spatial distribution of species richness and endemism of the genus Acacia in Australia. Australian Journal of Botany, 59, 600-608

• Jones C. & Laffan S.W. (2008) Lexical similarity and endemism in historical wordlists of Australian Aboriginal languages of the greater Sydney region. Transactions of the Philological Society, 106, 456-486.

• Laffan, S.W. (2011) Spatial non-stationarity, anisotropy and scale: The interactive visualisation of spatial turnover. pp. 1652-1658 in Chan, F., Marinova, D. and Anderssen, R.S. (eds) MODSIM2011, 19th International Congress on Modelling and Simulation. Modelling and Simulation Society of Australia and New Zealand, December 2011.

• Laffan, S.W. & Bickford, S.A. (2005) Using spatial randomisations to improve the utility of Geographically Weighted Regression model results. In MODSIM 2005 International Congress on Modelling and Simulation (eds R. Argent & A. Zerger), pp. 1396-1401. Modelling and Simulation Society of Australia and New Zealand, Melbourne, Australia.

• Laffan, S.W. & Crisp, M.D. (2003) Assessing endemism at multiple spatial scales, with an example from the Australian vascular flora. Journal of Biogeography, 30, 511-520.

• Rosauer, D.F., Laffan, S.W., Crisp, M.D., Donnellan, S.C. & Cook, L.G. (2009). Phylogenetic endemism: a new approach to identifying geographical concentrations of evolutionary history. Molecular Ecology, 18, 4061-4072.