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Marco Huigen

Dados Biográficos

ID3590100
NOMEMarco Huigen
PRENOMESMarco
SOBRENOMEHuigen
ASSINATURAHUIGEN M
AFILIAÇÕESLeiden University
VERIFICADONão
TOTAL DE OBRAS3
TOTAL DE CITAÇÕES9
TOTAL COMO AUTOR3
TOTAL COMO EDITOR0
PRIMEIRO ANO DE PUBLICAÇÃO2006
ANO MAIS RECENTE DE PUBLICAÇÃO2007
ÍNDICE H2
  • Comparing Inductive and Deductive Modeling of Land Use Decisions

    Open Access•Koen P Overmars, Wouter T De Groot et al.•ARTICLE•Human Ecology•2007•Citada por: 4•Referências: 25

    Understanding the causes of land use change is of great importance for issues of tropical deforestation, agricultural development and biodiversity conservation. Many quantitative studies, therefore, aim to link land use change to its causal 'driving forces.' The epistemology of virtually all these studies is inductive, searching for correlations within relatively large, sometimes spatially explicit, datasets. This can be sound science but we here…

  • Socio-Economic Impact of Super Typhoon Harurot in San Mariano, Isabela, the Philippines

    Open Access•Marco G A Huigen, Marco Huigen et al.•ARTICLE•World Development•2006•Citada por: 4•Referências: 2

  • Multiactor Modeling of Settling Decisions and Behavior in the San Mariano Watershed, the Philippines

    Open Access•Marco G A Huigen, Marco Huigen et al.•ARTICLE•Conservation Ecology•2006•Citada por: 1

    Huigen, M. G. A., K. P. Overmars, and W. T. de Groot. 2006. Multiactor modeling of settling decisions and behavior in the San Mariano watershed, the Philippines: a first application with the MameLuke framework. Ecology and Society 11(2): 33. https://doi.org/10.5751/ES-01738-110233

  • Comparing Inductive and Deductive Modeling of Land Use Decisions

    Open Access•Koen P Overmars, Wouter T De Groot et al.•ARTICLE•Human Ecology•2007•Citada por: 4•Referências: 25

    Understanding the causes of land use change is of great importance for issues of tropical deforestation, agricultural development and biodiversity conservation. Many quantitative studies, therefore, aim to link land use change to its causal 'driving forces.' The epistemology of virtually all these studies is inductive, searching for correlations within relatively large, sometimes spatially explicit, datasets. This can be sound science but we here…

  • Socio-Economic Impact of Super Typhoon Harurot in San Mariano, Isabela, the Philippines

    Open Access•Marco G A Huigen, Marco Huigen et al.•ARTICLE•World Development•2006•Citada por: 4•Referências: 2

  • Multiactor Modeling of Settling Decisions and Behavior in the San Mariano Watershed, the Philippines

    Open Access•Marco G A Huigen, Marco Huigen et al.•ARTICLE•Conservation Ecology•2006•Citada por: 1

    Huigen, M. G. A., K. P. Overmars, and W. T. de Groot. 2006. Multiactor modeling of settling decisions and behavior in the San Mariano watershed, the Philippines: a first application with the MameLuke framework. Ecology and Society 11(2): 33. https://doi.org/10.5751/ES-01738-110233

  • Socio-Economic Impact of Super Typhoon Harurot in San Mariano, Isabela, the Philippines

    Open Access•Marco G A Huigen, Marco Huigen et al.•ARTICLE•World Development•2006•Citada por: 4•Referências: 2

  • Multiactor Modeling of Settling Decisions and Behavior in the San Mariano Watershed, the Philippines

    Open Access•Marco G A Huigen, Marco Huigen et al.•ARTICLE•Conservation Ecology•2006•Citada por: 1

    Huigen, M. G. A., K. P. Overmars, and W. T. de Groot. 2006. Multiactor modeling of settling decisions and behavior in the San Mariano watershed, the Philippines: a first application with the MameLuke framework. Ecology and Society 11(2): 33. https://doi.org/10.5751/ES-01738-110233

  • Comparing Inductive and Deductive Modeling of Land Use Decisions

    Open Access•Koen P Overmars, Wouter T De Groot et al.•ARTICLE•Human Ecology•2007•Citada por: 4•Referências: 25

    Understanding the causes of land use change is of great importance for issues of tropical deforestation, agricultural development and biodiversity conservation. Many quantitative studies, therefore, aim to link land use change to its causal 'driving forces.' The epistemology of virtually all these studies is inductive, searching for correlations within relatively large, sometimes spatially explicit, datasets. This can be sound science but we here…

Computer Science (2 obras) · Ecology (2 obras) · Geography (2 obras) · Agricultural economics (1 obras) · Agricultural risk and resilience (1 obras) · Agriculture (1 obras) · Artificial Intelligence (1 obras) · Biology (1 obras) · Causal model (1 obras) · Climate Change, Adaptation, Migration (1 obras)

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