GLMs, GAMs and GLMMs: an overview of theory for applications in fisheries research

By William N. Venables, Cathy Dichmont. 2004

476 citations recorded by the source corpus.

Subfields: Global and Planetary Change, Nature and Landscape Conservation

View Paper: https://www.semanticscholar.org/paper/13281982699e2743e6f4293d050e31ad6d1ca2d1

How researchers see this paper

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

In Global and Planetary Change

1. L. Buhl‐Mortensen
2. Á. Borja
3. Gert Van Hoey
4. Steven Degraer
5. I. Muxika
6. J. Bald

In Nature and Landscape Conservation

1. M. Gogina
2. L. Buhl‐Mortensen
3. Á. Borja
4. J. Populus
5. J. Craeymeersch
6. Alexander Darr
7. Sarah Cunze
8. Hermann Neumann

Citations in the corpus

• Benthos distribution modelling and its relevance for marine ecosystem management (2015, background): “Commercial fish were especially targeted by recent studies using DM in marine ecosystems (Venables and Dichmont, 2004; Maxwell et al., 2009; Moore et al., 2010; Lenoir et al., 2011; Jones et al., 2012).”
• Species distribution modelling of marine benthos: a North Sea case study (2011, background): “…dis- 79 Mar Ecol Prog Ser 442: 71–86, 2011 tribution modelling in the marine environment has focused on regression-based models such as GLMs (e.g. Venables & Dichmont 2004, Willems et al. 2008, Chatfield et al. 2010, Gogina et al. 2010), but our results show that machine-learning and other…”