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Lessons Learned Replicating the Analysis of Outputs from a Social Simulation of Biodiversity Incentivisation

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Advances in Social Simulation 2015

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 528))

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Abstract

This chapter reports on an exercise in replicating the analysis of outputs from 20,000 runs of a social simulation of biodiversity incentivisation (FEARLUS-SPOMM) as part of the MIRACLE project. Typically, replication refers to reconstructing the model used to generate the output from the description thereof, but for larger-scale studies, the output analysis itself may be difficult to replicate even when given the original output files. Tools for analysing simulation output data do not facilitate keeping records of what can be a lengthy and complicated process. We provide an outline design for a tool to address this issue, and make some recommendations based on the experience with this exercise.

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Acknowledgements

This work was funded by a number of agencies under the Digging into Data Challenge (Third Round) and by the Scottish Government Rural Affairs and the Environment Portfolio Strategic Research Theme 1 (Ecosystem Services). Computing facilities have been provided by Compute Canada and Sharcnet.

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Authors and Affiliations

  1. The James Hutton Institute, Aberdeen, AB15 8QH, UK

    Gary Polhill, Lorenzo Milazzo & Alessandro Gimona

  2. The University of Dundee, Dundee, UK

    Lorenzo Milazzo & Terry Dawson

  3. The University of Waterloo, Waterloo, ON, Canada

    Dawn Parker

Authors
  1. Gary Polhill
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  2. Lorenzo Milazzo
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  3. Terry Dawson
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  4. Alessandro Gimona
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  5. Dawn Parker
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Corresponding author

Correspondence to Gary Polhill .

Editor information

Editors and Affiliations

  1. University College Groningen, University of Groningen, Groningen, The Netherlands

    Wander Jager

  2. Faculty of Mathematics and Natural Sciences, Institute of Artificial Intelligence, University of Groningen, Groningen, The Netherlands

    Rineke Verbrugge

  3. Faculty for Social and Behavioural Sciences, Department of Sociology, University of Groningen, Groningen, The Netherlands

    Andreas Flache

  4. Faculty of Spatial Sciences, Department of Spatial Planning and Environment, University of Groningen, Groningen, The Netherlands

    Gert de Roo

  5. Faculty of Economics and Business, University of Groningen, Groningen, The Netherlands

    Lex Hoogduin

  6. Faculty of Mathematics and Natural Sciences, Department of Behavioural Ecology and Self-organisation, University of Groningen, Groningen, The Netherlands

    Charlotte Hemelrijk

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Polhill, G., Milazzo, L., Dawson, T., Gimona, A., Parker, D. (2017). Lessons Learned Replicating the Analysis of Outputs from a Social Simulation of Biodiversity Incentivisation. In: Jager, W., Verbrugge, R., Flache, A., de Roo, G., Hoogduin, L., Hemelrijk, C. (eds) Advances in Social Simulation 2015. Advances in Intelligent Systems and Computing, vol 528. Springer, Cham. https://doi.org/10.1007/978-3-319-47253-9_32

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  • DOI: https://doi.org/10.1007/978-3-319-47253-9_32

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-47252-2

  • Online ISBN: 978-3-319-47253-9

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