GLMM Applied on the Spatial Distribution of Koalas in a Fragmented Landscape

By J. Rhodes, Clive McAlpine, A. Zuur, Graham M. Smith, E. Ieno. 2009

137 citations recorded by the source corpus.

Subfields: Ecological Modeling, Ecology

View Paper: https://www.semanticscholar.org/paper/f669477ef1139515606346fe41f555ddc9b8f700

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Ecological Modeling

1. J. Rhodes
2. C. Mantyka‐Pringle
3. Tara G. Martin
4. Vincent Bretagnolle
5. Hugh P. Possingham
6. B. Vaissière
7. Clive McAlpine
8. X. Harrison

In Ecology

1. Tara G. Martin
2. Clive McAlpine
3. J. Rhodes
4. C. Mantyka‐Pringle
5. Vincent Bretagnolle
6. Hugh P. Possingham
7. H. Ford

Citations in the corpus

• Interactions between climate and habitat loss effects on biodiversity: a systematic review and meta‐analysis (2012, methodology): “Q plots are useful for assessing whether the error distribution of the data is modelled correctly and to detect more general departures from model assumptions (Landwehr et al. 1984; Rhodes et al., 2009).”
• Differences of floral resource use between honey bees and wild bees in an intensive farming system (2013, methodology): “In all cases, autocorrelation was analysed using spline correlograms on model residuals (Rhodes et al., 2009).”
• Matrix is important for mammals in landscapes with small amounts of native forest habitat (2011, methodology): “The function ‘res.glmmML’ was used to calculate model residuals (Rhodes et al. 2009).”