2007 volume 34(2) pages 223 – 244
doi:10.1068/b31181

Cite as:
Alexandridis K, Pijanowski B C, 2007, "Assessing multiagent parcelization performance in the MABEL simulation model using Monte Carlo replication experiments" Environment and Planning B: Planning and Design 34(2) 223 – 244

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Assessing multiagent parcelization performance in the MABEL simulation model using Monte Carlo replication experiments

Konstantinos Alexandridis, Bryan C Pijanowski

Received 21 January 2005; in revised form 16 September 2005; published online 6 February 2007

Abstract. In this paper we present and test the functionality of a parcelization algorithm, implemented in our spatially explicit, agent-based land-use-change model which we call the Multi Agent-based Behavioral Economic Landscape (MABEL) model. In order to test the best possible spatial configuration of the algorithm and its efficiency compared with historically observed land-use changes, we employed a Monte Carlo simulation approach with a series of replication experiments across time, and compared observed changes between 1970 and 1990, and across two different landscapes in Michigan, USA. We compare the simulated parcel shapes with historically observed land-use changes using the landscape-ecology metric program, FRAGSTATS.

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