Abstract
Evolutionary models (e.g. genetic algorithms, artificial life), explored in other fields for the past two decades, are emerging as an important new tool for geographic information systems for a number of reasons. First, they are highly appropriate for modeling geographic phenomena; secondly, geographical problems are often spatially separate (broken down into local or regional problems), and evolutionary algorithms can exploit this structure; and finally, the ability to store, manipulate, and visualize spatial data has increased to the point that space-time-attribute databases can be easily handled. This book is meant to sere as a guide to the evolutionary modeling of spatial phenomena.
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CITATION STYLE
McCulloch, A. (2005). Spatial Evolutionary Modeling. Journal of the Royal Statistical Society Series A: Statistics in Society, 168(2), 462–462. https://doi.org/10.1111/j.1467-985x.2005.358_9.x
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