Mapping species distributions with MAXENT using a geographically biased sample of presence data: a performance assessment of methods for correcting sampling bias (Q30818965)

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English	Mapping species distributions with MAXENT using a geographically biased sample of presence data: a performance assessment of methods for correcting sampling bias	scientific article

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scholarly article

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Europe PubMed Central

PMC publication ID

12 September 2017

Mapping species distributions with MAXENT using a geographically biased sample of presence data: a performance assessment of methods for correcting sampling bias (English)

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Europe PubMed Central

PMC publication ID

12 September 2017

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based on heuristic

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species distribution

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based on heuristic

inferred from title

4

object named as

Jean Secondi

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Europe PubMed Central

PMC publication ID

12 September 2017

object named as

Yoan Fourcade

1

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3

object named as

Dennis Rödder

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Europe PubMed Central

PMC publication ID

12 September 2017

2

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Jan O Engler

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Europe PubMed Central

PMC publication ID

12 September 2017

language of work or name

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publication date

12 May 2014

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Europe PubMed Central

PMC publication ID

12 September 2017

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Europe PubMed Central

PMC publication ID

12 September 2017

9

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Europe PubMed Central

PMC publication ID

12 September 2017

5

1 reference

Europe PubMed Central

PMC publication ID

12 September 2017

e97122

1 reference

Europe PubMed Central

PMC publication ID

12 September 2017

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Creative Commons Attribution 4.0 International

12 May 2014

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April 2022 Public Data File from Crossref

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describes a project that uses

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ArcGIS

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Europe PubMed Central

18 June 2022

https://europepmc.org/article/PMC/4018261

based on heuristic

inferred from PubMed Central ID database lookup

CZ Software Mentions: A large dataset of software mentions in the biomedical literature

The effects of sampling bias and model complexity on the predictive performance of MaxEnt species distribution models

1 reference

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Population distribution models: species distributions are better modeled using biologically relevant data partitions

1 reference

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21 June 2018

Biodiversity hotspots

1 reference

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Sample selection bias and presence-only distribution models: implications for background and pseudo-absence data

1 reference

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The importance of correcting for sampling bias in MaxEnt species distribution models

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Spatially autocorrelated sampling falsely inflates measures of accuracy for presence-only niche models

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Identifiers

10.1371/JOURNAL.PONE.0097122

1 reference

Europe PubMed Central

PMC publication ID

12 September 2017

2014PLoSO...997122F

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PMC publication ID

1 reference

Europe PubMed Central

PMC publication ID

12 September 2017

PubMed publication ID

1 reference

Europe PubMed Central

PMC publication ID

12 September 2017

ResearchGate publication ID

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