Ian Renner
University of Newcastle
18 Papers
25 Citations
Ian Renner is an academic researcher from University of Newcastle. The author has contributed to research in topics: Computer science & Species distribution. The author has an hindex of 7, co-authored 17 publications. Previous affiliations of Ian Renner include University of New South Wales.
Chat about Author
Papers
A comprehensive evaluation of predictive performance of 33 species distribution models at species and community levels
Anna Norberg,Nerea Abrego,Nerea Abrego,F. Guillaume Blanchet,Frederick R. Adler,Barbara J. Anderson,Jani Anttila,Miguel B. Araújo,Miguel B. Araújo,Miguel B. Araújo,Tad A. Dallas,David B. Dunson,Jane Elith,Scott D. Foster,Richard Fox,Janet Franklin,William Godsoe,Antoine Guisan,Bob O'Hara,Nicole A. Hill,Robert D. Holt,Francis K. C. Hui,Magne Husby,John Atle Kålås,Aleksi Lehikoinen,Miska Luoto,Heidi K. Mod,Graeme Newell,Ian Renner,Tomas Roslin,Tomas Roslin,Janne Soininen,Wilfried Thuiller,Jarno Vanhatalo,David I. Warton,Matt White,Niklaus E. Zimmermann,Dominique Gravel,Otso Ovaskainen,Otso Ovaskainen +39 more
TL;DR: This work compared the predictive performance of 33 variants of 15 widely applied and recently emerged species distribution model approaches in the context of multispecies data, including both joint SDMs that model multiple species together, and stacked SDM that model each species individually combining the predictions afterward.
Point process models for presence-only analysis
Ian Renner,Jane Elith,Adrian Baddeley,William Fithian,Trevor Hastie,Steven J. Phillips,Gordana C. Popovic,David I. Warton +7 more
TL;DR: In this article, a review of point process models, some of their advantages and some common methods of fitting them to presence-only data is presented. But the authors do not address the problem of sampling bias.
408
Model-Based Control of Observer Bias for the Analysis of Presence-Only Data in Ecology
TL;DR: It is shown that modelling and controlling for observer bias significantly improves the accuracy of predictions made using presence-only data, and usually improves predictions as compared to pseudo-absence or “inventory” methods of bias correction based on absences from non-target species.
178
Validation of presence-only models for conservation planning and the application to whales in a multiple-use marine park.
TL;DR: MaxEnt models can be useful and cost‐effective for designing a sampling scheme to undertake systematic surveys that significantly reduces sampling effort and is important when evaluating presence‐only models within certain conservation management applications, such as spatial risk assessments.
35
Incidence, time of occurrence and response to heart failure therapy in patients with anthracycline cardiotoxicity
A. Khan,A. Ashraf,Rajinder Singh Harjit Singh,Aadil Rahim,Walid Rostom,Mumtaz Hussain,Ian Renner,Nicholas Collins +7 more
TL;DR: Anthracyclines are commonly used chemotherapeutic medications that have the potential to be abused when misused in combination with other drugs.
26