00954nam a2200145Ia 450000500170000000800410001702000180005808200170007610000220009324500340011526000390014930000140018850005920020265000140079420250625171940.0250625s9999    xx            000 0 und d  a9780195135688  a910.285bKRZ  aKrzanowski, Roman 0aSpatial Evolutionary Modeling  bOxford University Press, USAc2001  a265 pages  aAnnotation Evolutionary models (e.g., genetic algorithms, artificial life), explored in other fields for the past two decades, are now emerging as an important new tool in GIS for a number of reasons. First, they are highly appropriate for modeling geographic phenomena. Secondly, geographical problemsare often spatially separate (broken down into local or regional problems) and evolutionary algorithms can exploit this structure. Finally, the ability to store, manipulate, and visualize spatial data has increased to the point that space-time-attribute databases can be easily handled  aComputers