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| Chen, Yong; Irwin, Elena G.; Jayaprakash, Ciriyam. |
| Recent work in regional science, geography, and urban economics has advanced spatial modeling of land markets and land use by incorporating greater spatial complexity, including multiple sources of spatial heterogeneity, multiple spatial scales, and spatial dynamics. Doing so has required a move away from relying solely on analytical models to partial or full reliance on computational methods that can account for these added features of spatial complexity. In the first part of the paper, we review economic models of urban land development that have incorporated greater spatial complexity, focusing on spatial simulation models with spatial endogenous feedbacks and multiple sources of spatial heterogeneity. The second part of the paper presents a spatial... |
| Tipo: Article |
Palavras-chave: Urban growth; Urbanization; Land development; Spatial dynamics; Heterogeneity; Agent-based models; Spatial interactions; Land Economics/Use; Research Methods/ Statistical Methods. |
| Ano: 2011 |
URL: http://purl.umn.edu/120644 |
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| Huigen, Marco G. A.; Leiden University; mhuigen@uni-hohenheim.de; Overmars, Koen P.; Leiden University; overmars@cml.leidenuniv.nl; de Groot, Wouter T.; Leiden University; degroot@cml.leidenuniv.nl. |
| Land-use system dynamics and demographic dynamics are tightly coupled. In environmental science and studies of changes in land use and land cover, an unequivocal relationship is sometimes found between both systems, especially in coarse-scale studies. To obtain a better understanding of these intermingling dynamics, we formulated an agent-based model, the MameLuke settlement model, that used a deductive approach to investigate these relationships. The model was constructed based on ethnographic histories of farm households in San Mariano, the Philippines. The model was calibrated visually. Although this calibration approach proved to be very inefficient, the model itself still outperformed a random model. The model formulation process and the model... |
| Tipo: Peer-Reviewed Reports |
Palavras-chave: Actor decision-making; Agent-based models; Ethnic distribution; Ethnographic history; Land-use dynamics; Mameluke framework; Philippines; Population dynamics. |
| Ano: 2006 |
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| Guzy, Michael R; Oregon State University, Department of Biological and Ecological Engineering; michael.guzy@oregonstate.edu; Smith, Courtland L; Oregon State University, Department of Anthropology; csmith@oregonstate.edu; Bolte, John P; Oregon State University, Department of Biological and Ecological Engineering; boltej@engr.orst.edu; Hulse, David W; University of Oregon, Department of Landscape Architecture; dhulse@uoregon.edu; Gregory, Stanley V; Oregon State University, Department of Fisheries and Wildlife; stanley.gregory@oregonstate.edu. |
| The expansion of urban land uses into farmlands and forests requires an assessment of future ecological impacts. Spatially explicit agent-based models can represent the changes in resilience and ecological services that result from different land-use policies. When modeling complex adaptive systems, both the methods used to interpret results and the standards of rigor used to judge adequacy are complicated and require additional research. Recent studies suggest that it would be appropriate to use these models as an extension of exploratory analysis. This type of analysis generates ensembles of alternate plausible representations of future system conditions. User expertise steers interactive, stepwise system exploration toward inductive reasoning about... |
| Tipo: Peer-Reviewed Reports |
Palavras-chave: Social-ecological systems; Agricultural-urban interface; Fish habitat; Ecosystem health; Urban containment policies; Agent-based models. |
| Ano: 2008 |
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