Agent based modeling, Land-use change
My research focuses on building a systemic understanding of
coupled human-natural systems. In particular, I am interested in
understanding how patterns of land-use and land-cover change
emerge from human alterations of natural processes and the
resulting feedbacks. Study systems of interest range from
smallholder agricultural systems to those undergoing
agricultural to urban conversion, typically known as urban
Current projects include
- The application of CHALMS - an agent-based model of urban growth
- to understand how developer decision-making shapes housing
offerings and their resulting environmental impacts
- The development of an agent-based virtual laboratory to explore
local human-environmental interactions through land-use globally.
Magliocca, N. R., D. G. Brown, and E. C. Ellis. 2013.
Exploring Agricultural Livelihood Transitions with an Agent-Based Virtual
Laboratory: Global Forces to Local Decision-Making.
8:e73241. doi:10.1371/journal.pone.0073241. [download]
Exploring Land-Livelihood Transitions]
Magliocca, N.R., McConnell, V., Walls, M., and Safirova, E. (2012).
Zoning on the Urban Fringe: Results from a New Approach to Modeling Land
and Housing Markets. Regional Science and Urban Economics, 42: 198-210.
Magliocca, N.R. (2011) “Exploring Coupled Housing and Land Market
Interactions Through an Economic Agent-Based Model (CHALMS)”. In Spatial
Agent-based Models: Principles, Concepts and Applications, Heppenstall,
A.; Crooks, A.; Batty, M. (Eds.). Berlin: Springer-Verlag (in press)
Magliocca, N.R., Safirova, E., McConnell, V., and Walls, M. (2011). An
economic agent-based model of coupled housing and land markets (CHALMS).
Computers, Environment, and Urban Systems, 35(3): 183-191.
Magliocca, N.R., McNamara, D., and Murray, A.B. (2011). Long-term,
large-scale morphodynamic effects of artificial dune construction along a
barrier island coastline. Journal of Coastal Research, 27(5): 918-930.
Magliocca, N.R. (2008). Induced coupling: An approach to modeling and
managing complex human-landscape interactions. Systems Research and
Behavioral Science, 25(5): 655-651.