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ZENODO
Dataset . 2023
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
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Claim

Data stochasticity and model parametrisation impact the performance of species distribution models: insights from a simulation study

Research datakeyboard_double_arrow_right Dataset 17 Jan 2023 English Publisher:Zenodo
Authors: Charlotte Lambert; Auriane Virgili;

doi: 10.5281/zenodo.7544441 , 10.5281/zenodo.7544440

Data stochasticity and model parametrisation impact the performance of species distribution models: insights from a simulation study

Abstract

Data and R codes necessary to replicate the analyses presented in the paper entitled "Data stochasticity and model parametrisation impact the performance of species distribution models: insights from a simulation study", published in Peer Community in Ecology (10.24072/pcjournal.263).

Keywords

species distribution model, segment-based sampling, marine ecology, simulation, grid-based sampling

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
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1
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35