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Empirical validation of an agent-based model of wood markets in Switzerland

We present an agent-based model of wood markets and show our efforts to validate this model using empirical data from different sources, including interviews, workshops, experiments, and official statistics. Own surveys closed gaps where data was not available. Our approach to model validation used...

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Detalles Bibliográficos
Autores principales: Holm, Stefan, Hilty, Lorenz M., Lemm, Renato, Thees, Oliver
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5774711/
https://www.ncbi.nlm.nih.gov/pubmed/29351300
http://dx.doi.org/10.1371/journal.pone.0190605
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author Holm, Stefan
Hilty, Lorenz M.
Lemm, Renato
Thees, Oliver
author_facet Holm, Stefan
Hilty, Lorenz M.
Lemm, Renato
Thees, Oliver
author_sort Holm, Stefan
collection PubMed
description We present an agent-based model of wood markets and show our efforts to validate this model using empirical data from different sources, including interviews, workshops, experiments, and official statistics. Own surveys closed gaps where data was not available. Our approach to model validation used a variety of techniques, including the replication of historical production amounts, prices, and survey results, as well as a historical case study of a large sawmill entering the market and becoming insolvent only a few years later. Validating the model using this case provided additional insights, showing how the model can be used to simulate scenarios of resource availability and resource allocation. We conclude that the outcome of the rigorous validation qualifies the model to simulate scenarios concerning resource availability and allocation in our study region.
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spelling pubmed-57747112018-01-26 Empirical validation of an agent-based model of wood markets in Switzerland Holm, Stefan Hilty, Lorenz M. Lemm, Renato Thees, Oliver PLoS One Research Article We present an agent-based model of wood markets and show our efforts to validate this model using empirical data from different sources, including interviews, workshops, experiments, and official statistics. Own surveys closed gaps where data was not available. Our approach to model validation used a variety of techniques, including the replication of historical production amounts, prices, and survey results, as well as a historical case study of a large sawmill entering the market and becoming insolvent only a few years later. Validating the model using this case provided additional insights, showing how the model can be used to simulate scenarios of resource availability and resource allocation. We conclude that the outcome of the rigorous validation qualifies the model to simulate scenarios concerning resource availability and allocation in our study region. Public Library of Science 2018-01-19 /pmc/articles/PMC5774711/ /pubmed/29351300 http://dx.doi.org/10.1371/journal.pone.0190605 Text en © 2018 Holm et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Holm, Stefan
Hilty, Lorenz M.
Lemm, Renato
Thees, Oliver
Empirical validation of an agent-based model of wood markets in Switzerland
title Empirical validation of an agent-based model of wood markets in Switzerland
title_full Empirical validation of an agent-based model of wood markets in Switzerland
title_fullStr Empirical validation of an agent-based model of wood markets in Switzerland
title_full_unstemmed Empirical validation of an agent-based model of wood markets in Switzerland
title_short Empirical validation of an agent-based model of wood markets in Switzerland
title_sort empirical validation of an agent-based model of wood markets in switzerland
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5774711/
https://www.ncbi.nlm.nih.gov/pubmed/29351300
http://dx.doi.org/10.1371/journal.pone.0190605
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