LEADER 03348nam 2200697Ia 450 001 9910816725503321 005 20240410131808.0 010 $a0-19-756162-4 010 $a1-280-53096-0 010 $a0-19-803101-7 010 $a1-4294-0390-X 035 $a(CKB)1000000000465728 035 $a(EBL)281458 035 $a(OCoLC)630529184 035 $a(SSID)ssj0000249381 035 $a(PQKBManifestationID)11194277 035 $a(PQKBTitleCode)TC0000249381 035 $a(PQKBWorkID)10227267 035 $a(PQKB)10547271 035 $a(MiAaPQ)EBC281458 035 $a(StDuBDS)EDZ0002341372 035 $a(Au-PeEL)EBL281458 035 $a(CaPaEBR)ebr10269228 035 $a(CaONFJC)MIL53096 035 $a(OCoLC)609988040 035 $a(EXLCZ)991000000000465728 100 $a20000323d2001 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aSpatial evolutionary modeling /$fRoman Krzanowski, Jonathan Raper 205 $a1st ed. 210 $aOxford ;$aNew York $cOxford University Press$d2001 215 $a1 online resource (265 p.) 225 1 $aSpatial information systems 300 $aPreviously issued in print: 2001. 311 $a0-19-513568-7 320 $aIncludes bibliographical references and index. 327 $aForeword; Contents; Contributors; Part I: Evolutionary Algorithms: An Introduction; 1 Concepts of Evolutionary Modeling and Evolutionary Algorithms; Part II: Spatial Evolutionary Modeling: Algorithms and Models; 2 Modeling Spatial Phenomena; Part III: Spatial Evolutionary Algorithms: Applications; 3 Beyond Data: Handling Spatial and Analytical Contexts with Genetics-Based Machine Learning; 4 A Genetic Algorithm to Design Optimal Patch Configurations Using Raster Data Structures; 5 Designing Genetic Algorithms to Solve GIS Problems; 6 Evolutionary Modeling of Routes: The Case of Road Design 327 $a7 Airspace Sectoring by Evolutionary ComputationIndex; A; B; C; D; E; F; G; H; I; J; K; L; M; N; O; P; Q; R; S; T; U; V; W; Z 330 8 $aEvolutionary models (e.g genetic algorithms, artificial life) are emerging as an important new tool for geographic information systems for a number of reasons. First, they are highly appropriate for modelling geographic phenomena; second, geographical problems are often spatially separate (broken down into logical or regional problems), and evolutionary algorithms can exploit this structure; and finally, the ability to store, manipulate, and visualise spatial data has increased to the point that space-time attribute databases can be easily handled. This book is proposed to serve as a guide to the evolutionary modelling of spatial phenomena. 410 0$aSpatial information systems. 606 $aGenetic algorithms 606 $aGeographic information systems 606 $aMathematical models 615 0$aGenetic algorithms. 615 0$aGeographic information systems. 615 0$aMathematical models. 676 $a910.285 676 $a910/.285 700 $aKrzanowski$b Roman$01695848 701 $aRaper$b Jonathan$0275949 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910816725503321 996 $aSpatial evolutionary modeling$94075379 997 $aUNINA