This book investigates the integration of evolutionary computational models into Geographic Information Systems (GIS) to solve complex spatial problems. The authors, Jonathan Raper and Roman M. Krzanowski, leverage their expertise in spatial information systems to argue that evolutionary algorithms—such as genetic algorithms and artificial life simulations—provide a robust framework for analyzing geographic phenomena. By synthesizing advancements in spatial data storage and visualization, the text establishes a methodology for applying these computational tools to regional and local spatial challenges.

Experts recognize this text as a foundational resource for understanding the intersection of computational intelligence and spatial analysis. Readers frequently note the technical density of the prose, which serves as a specialized reference for GIS professionals and researchers.