Marco Huigen
Biographic Data
| ID | 3590100 |
|---|---|
| NAME | Marco Huigen |
| GIVEN NAMES | Marco |
| FAMILY NAME | Huigen |
| SIGNATURE | HUIGEN M |
| AFFILIATIONS | Leiden University |
| VERIFIED | No |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 9 |
| AUTHOR COUNT | 3 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2006 |
| LATEST PUBLICATION YEAR | 2007 |
| H-INDEX | 2 |
Comparing Inductive and Deductive Modeling of Land Use Decisions
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
Multiactor Modeling of Settling Decisions and Behavior in the San Mariano Watershed, the Philippines
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
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
Multiactor Modeling of Settling Decisions and Behavior in the San Mariano Watershed, the Philippines
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
Multiactor Modeling of Settling Decisions and Behavior in the San Mariano Watershed, the Philippines
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
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 works) · Ecology (2 works) · Geography (2 works) · Agricultural economics (1 works) · Agricultural risk and resilience (1 works) · Agriculture (1 works) · Artificial Intelligence (1 works) · Biology (1 works) · Causal model (1 works) · Climate Change, Adaptation, Migration (1 works)