000			01009nam a2200169Ia 4500
005			20250625171940.0
008			250625s9999 xx 000 0 und d
020			_a9780195135688
082			_a910.285 _bKRZ
100			_aKrzanowski, Roman
245		0	_aSpatial Evolutionary Modeling
260			_bOxford University Press, USA _c2001
300			_a265 pages
500			_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
650			_aComputers
942			_cENGLISH
999			_c573926 _d573926