Agent-based land-use models: a review of applications

By Robin B. Matthews, N. Gilbert, A. Roach, J. Gareth Polhill, N. Gotts. Landscape Ecology, 2007

900 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Global and Planetary Change, Management, Monitoring, Policy and Law

View Paper: https://www.semanticscholar.org/paper/50685af20e8a18b7425af174f322f329dd248726

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In Economics and Econometrics

In Global and Planetary Change

In Management, Monitoring, Policy and Law

Citations in the corpus

Describing human decisions in agent-based models - ODD + D, an extension of the ODD protocol (2013, background): “…process-based models, and in particular agent-based models (ABMs), can play an important role in fostering understanding of the dynamics of complex systems (see Matthews et al., 2007; Clifford, 2008; Polasky et al. 2011; Schlüter et al., 2012 with respect to coupled human-environmental systems).”
Linking Land Change with Driving Forces and Actors: Four Conceptual Models (2010, background): “Many agent-based models (ABMs), which are increasingly popular in land change research (Parker et al. 2002, Matthews et al. 2007, Clifford 2008), are based on the A-C model.”
A Third Wave in the Economics of Climate Change (2015, positive): “ABMs are also frequently used to model land use (Parker et al. 2003; Matthews et al. 2007), ecosystemmanagement (Bousquet and Page 2004) and have been used to explore climate change related issues (Balbi and Giupponi 2009).”
Modeling human decisions in coupled human and natural systems: Review of agent-based models (2012, methodology): “24 This paper concludes by advocating development of more process-based decision models as well as 25 protocols or architectures that facilitate better modeling of human decisions in various CHANS.”
An agent-based approach to model future residential pressure on a regional landscape (2009, background): “This allows simulation of the complex interactions between agents and between agents and their environment (White and Engelen 2000; Parker et al. 2003; Matthews et al. 2007).”
NEW HORIZONS FOR MANAGING THE ENVIRONMENT: A REVIEW OF COUPLED SOCIAL‐ECOLOGICAL SYSTEMS MODELING (2012, background): “See Matthews et al. [2007] for a review of agent-based models in land use science.”
Ecology in an anthropogenic biosphere (2015, background): “…patterning of habitat quality and fragmentation under different strategies for cooperative engineering of multifunctional landscapes, enabling theory validation, scenario generation, and interactive assessments in the field together with stakeholders (Matthews et al. 2007, Willemen et al. 2012).”
Theoretical foundations of human decision-making in agent-based land use models - A review (2017, background): “Agent-based models (ABMs) have been suggested as powerful tools to investigate land use and land cover change (LUCC) (Parker et al., 2003; Matthews et al., 2007; Rounsevell et al., 2014).”
Spatial agent-based models for socio-ecological systems: Challenges and prospects (2013, background): “Matthews et al. (2007) synthesize the knowledge on the use of ABM in land-use science, focusing on spatially explicit and heterogenous representation of the environment.”