Sensitivity analysis of Repast computational ecology models with R/Repast.

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Sensitivity analysis of Repast computational ecology models with R/Repast.

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2016 nî lūn-bûn

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2016年の論文

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2016年論文

@yue

2016年論文

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2016年論文

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2016年論文

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2016年論文

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2016年论文

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2016年论文

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2016年论文

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Sensitivity analysis of Repast computational ecology models with R/Repast.

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Sensitivity analysis of Repast computational ecology models with R/Repast.

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Sensitivity analysis of Repast computational ecology models with R/Repast.

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P1476

Sensitivity analysis of Repast computational ecology models with R/Repast

@en

P2093

Antonio Prestes García

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P2860

Agent-based modeling: methods and techniques for simulating human systems.

Computational ecology: from the complex to the simple and back.

Agent-Based Model Forecasts Aging of the Population of People Who Inject Drugs in Metropolitan Chicago and Changing Prevalence of Hepatitis C Infections

F factor conjugation is a true type IV secretion system.

Natural selection, infectious transfer and the existence conditions for bacterial plasmids

Computational ecology as an emerging science.

On the meaning and estimation of plasmid transfer rates for surface-associated and well-mixed bacterial populations.

The ins and outs of DNA transfer in bacteria.

Progress towards understanding the fate of plasmids in bacterial communities.

Understanding and comparisons of different sampling approaches for the Fourier Amplitudes Sensitivity Test (FAST)

P304

8811-8831

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P31

scholarly article

P356

10.1002/ECE3.2580

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P433

http://www.w3.org/2001/XMLSchema#string

P478

http://www.w3.org/2001/XMLSchema#string

P50

Alfonso Rodriguez-Paton

P577

2016-11-21T00:00:00Z

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P698

28035271

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P932

5192867

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