Research graph
References from Data stochasticity and model parametrisation impact the performance of species distribution models: insights from a simulation study. Local targets link to admitted publications; unresolved targets remain external evidence.
10.1201/b19708
10.1201/b19708 · 2015 · External reference
Wildlife Population Assessment: Changing Priorities Driven by Technological Advances
10.1007/s42519-023-00319-6 · 2023 · External reference
10.1007/978-3-319-19219-2
10.1007/978-3-319-19219-2 · 2015 · External reference
Monitoring of a quasi-stationary eddy in the Bay of Biscay by means of satellite, in situ and model results
10.1016/j.dsr2.2013.09.029 · 2014 · External reference
Effects of grain size and niche breadth on species distribution modeling
10.1111/ecog.03416 · 2017 · External reference
Species Distribution Models: Ecological Explanation and Prediction Across Space and Time
10.1146/annurev.ecolsys.110308.120159 · 2009 · External reference
The importance of temporal resolution for niche modelling in dynamic marine environments
10.1111/jbi.13080 · 2017 · External reference
10.1017/cbo9780511810602
10.1017/cbo9780511810602 · 2010 · External reference
Species distribution models in conservation biogeography: developments and challenges
10.1111/ddi.12125 · 2013 · External reference
Influence of grain size on species–habitat models
10.1016/j.ecolmodel.2011.07.008 · 2011 · External reference
Is my species distribution model fit for purpose? Matching data and models to applications
10.1111/geb.12268 · 2015 · External reference
Sensitivity of predictive species distribution models to change in grain size
10.1111/j.1472-4642.2007.00342.x · 2007 · External reference
Predicting species distributions for conservation decisions
10.1111/ele.12189 · 2013 · External reference
Hmisc: Harrell Miscellaneous
2020 · External reference
The effect of sample size and species characteristics on performance of different species distribution modeling methods
10.1111/j.0906-7590.2006.04700.x · 2006 · External reference
raster: Geographic data analysis and modeling
2014 · External reference
Physical processes and hydrological structure related to the Bay of Biscay anchovy
1996 · External reference
Delayed response to environmental conditions and infra-seasonal changes in the spatial distribution of short-beaked common dolphin
10.1098/rsos.220379 · 2022 · External reference
The effect of a multi-target protocol on cetacean detection and abundance estimation in aerial surveys
10.1098/rsos.190296 · 2019 · External reference
Predicting cetacean habitats from their energetic needs and the distribution of their prey in two contrasted tropical regions
10.1371/journal.pone.0105958 · 2014 · External reference
Data stochasticity and model parametrisation impact the performance of species distribution models: insights from a simulation study [Data set]
10.5281/zenodo.7544441 · 2023 · External reference
Spatial range shape drives the grain size effects in species distribution models
10.1111/j.1600-0587.2013.07696.x · 2013 · External reference
virtualspecies, an R package to generate virtual species distributions
10.1111/ecog.01388 · 2015 · External reference
10.1016/b978-0-12-455521-1.x5000-1
10.1016/b978-0-12-455521-1.x5000-1 · 2007 · External reference
Temporal resolutions in species distribution models of highly mobile marine animals: Recommendations for ecologists and managers
10.1111/ddi.12609 · 2017 · External reference
Predicting cetacean and seabird habitats across a productivity gradient in the South Pacific gyre
10.1016/j.pocean.2013.11.005 · 2014 · External reference
Predicting top predator habitats in the Southwest Indian Ocean
10.1111/j.1600-0587.2013.00317.x · 2014 · External reference
Species distribution model transferability and model grain size–finer may not always be better
10.1038/s41598-018-25437-1 · 2018 · External reference
Species distribution modelling to support marine conservation planning: The next steps
10.1016/j.marpol.2013.09.003 · 2014 · External reference
dssd: Distance Sampling Survey Design
2021 · External reference
Scale mismatches between predictor and response variables in species distribution modelling: A review of practices for appropriate grain selection
10.1177/03091333231156362 · 2023 · External reference
Three anticyclonic Slope Water Oceanic eDDIES (SWODDIES) in the southern Bay of Biscay in 1990
10.1016/0198-0149(92)90062-x · 1992 · External reference
Species Distribution Models: the delicate balance between signal and noise
10.24072/pci.ecology.100523 · 2023 · External reference
R: A Language and Environment for Statistical Computing
2021 · External reference
Eddies and dipoles around South Madagascar: formation, pathways and large-scale impact
10.1016/j.dsr.2003.10.011 · 2004 · External reference
Scale of inference: on the sensitivity of habitat models for wide-ranging marine predators to the resolution of environmental data
10.1111/ecog.02272 · 2016 · External reference
Eddies and variability in the Mozambique Channel
10.1016/s0967-0645(03)00042-0 · 2003 · External reference
qpcR: Modelling and Analysis of Real-Time PCR Data
2018 · External reference
Combining multiple visual surveys to model the habitat of deep-diving cetaceans at the basin scale
10.1111/geb.12850 · 2018 · External reference
How many sightings to model rare marine species distributions
10.1371/journal.pone.0193231 · 2018 · External reference
Comparison of habitat models for scarcely detected species
10.1016/j.ecolmodel.2016.12.013 · 2017 · External reference
Fast stable restricted maximum likelihood and marginal likelihood estimation of semiparametric generalized linear models
10.1111/j.1467-9868.2010.00749.x · 2011 · External reference
10.1201/9781420010404
10.1201/9781420010404 · 2006 · External reference
