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| - | ====== Group 3: CHANGE MODELLING ====== | + | ====== Group 3: HUMAN ASPECTS ON CHANGE MODELLING ====== |
| ===== 1. Cluster project proposal (input in cluster proposal template ) ===== | ===== 1. Cluster project proposal (input in cluster proposal template ) ===== | ||
| 1.1. Abstract 1.2. State-Of-The-Art, related literature 1.3. Work packages descriptions 1.4. Deliverables, time plan | 1.1. Abstract 1.2. State-Of-The-Art, related literature 1.3. Work packages descriptions 1.4. Deliverables, time plan | ||
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| - | ==== "Incorporating illegal behaviors into Brazilian Amazon land use change models" ==== | ||
| - | * What are the legal and illegal processes of land appropriation at the Brazilian Amazon? | + | |
| - | * How to simulate negotiation and corruption for land appropriation? | + | |
| - | * What are the alternative scenarios for corruption mitigation? | + | |
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| ==== "Complex Network Modeling Support" ==== | ==== "Complex Network Modeling Support" ==== | ||
| - | Land changes are results from complex social and biophysical systems and their interactions (Turner et al., 1995). Such interactions result from processes that act on different hierarchical levels. At the global scale, the national and international commodities market (beef, grains and timber) drives demand for land change. This way, these changes cannot be adequately understood without knowing their linkages to decisions and structures made elsewhere. In this sense, understanding the role of networks is essential to understanding land-use structure. Such networks can be physical, such as infrastructure networks, and logical ones, such as market chains, linking a certain location to distant consumption or influential sites. | ||
| - | In general, a network is a set of items, which we will call vertices or sometimes nodes, with connections between them, called edges. Examples include the World Wide Web, social networks of acquaintance or other connections between individuals, organizational networks and networks of business relations between companies. In Newman, the author reviews some work on the structure and function of networked systems as network metrics <explain some the network metrics>. | + | Land changes are results from complex social and biophysical systems and their interactions (Turner et al., 1995). Such interactions result from processes that act on different hierarchical levels. At the global scale, the national and international commodities market (beef, grains and timber) drives demand for land change. This way, these changes cannot be adequately understood without knowing their linkages to decisions and structures made elsewhere. In this sense, understanding the role of networks is essential to understanding how to decide about the land use. |
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| + | A network is a set of items, which we will call vertices or nodes, with connections between them, called edges. Networks exist everywhere and at every scale and can be physical, such as infrastructure networks, and logical ones, such as market chains, linking a certain location to distant consumption or influential sites. Several works argue that networks are important tool to describe complex systems, REFS. <gpm> | ||
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| + | We believe which networks can be a important tool to link the actor of land change to global scenarios, as market and police public in land change modeling. However, is necessary to solve some specific challenges: | ||
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| + | * Network Architecture, including data structures and algorithms. | ||
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| + | === References === | ||
| + | * Aguiar, A., Câmara, G., Cartaxo., R.: Modeling Spatial Relations by Generalized Proximity Matrices. V Brazilian Symposium in Geoinformatics - GeoInfo 2003, Campos do Jordão, SP, Brazil (2003) | ||
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| + | * Andrade, P. R. (2008). Modelling and simulation of complex systems with geospatial agents. | ||
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| + | * Barabási, A. L., & Albert, R. (1999). Emergence of scaling in random networks.Science , 286, pp. 509-512. | ||
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| + | * Barabási, A. L., & Bonabeau, E. (2003). Scale-free networks. Scientific American , 288,50-59. | ||
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| + | * Newman, M., Barabási, A. L., & Watts, D. J. (2006). The structure and dynamics of networks. EUA: Princeton University press. | ||
| - | The human behavior is very dependent of logical network, as market chain, and understands how to couple this network to land change model is a great challenge for land change science. This work propose the use of logical networks to describe relations that act at a distance, such as connections to markets. | + | * Moreira, E., Aguiar, A.P., Costa, S., Câmara, G.: Spatial relations across scales in land change models. In: Vinhas, L. (ed.): X Brazilian Symposium on Geoinformatics, GeoInfo 2008. SBC, Rio de Janeiro (2008) |
| + | * Watts, D. J. (1999). Small worlds. EUA: Princeton University Press. | ||
| - | * Data acquisition | ||
| - | * Simulation (data structure and algorithms) | ||
| - | * Dynamic and seasonal reorganization | ||
| - | * Coupling with others models at multiple scales | ||
| ===== 5. One mobility measure proposal ===== | ===== 5. One mobility measure proposal ===== | ||
