This newly updated edition covers cutting-edge topics in computational geography, addressing a domain in both geographic and computer sciences. With an extended introduction that reviews directional changes and major advances in the field since the first edition, this book includes ten new topics as well as substantial modifications to existing chapters. Written by recognized international experts and up-and-coming researchers, the text introduces the subject matter by providing readable accounts of current developments. In addition, the authors examine possibilities for future developments through the year 2061.…mehr
This newly updated edition covers cutting-edge topics in computational geography, addressing a domain in both geographic and computer sciences. With an extended introduction that reviews directional changes and major advances in the field since the first edition, this book includes ten new topics as well as substantial modifications to existing chapters. Written by recognized international experts and up-and-coming researchers, the text introduces the subject matter by providing readable accounts of current developments. In addition, the authors examine possibilities for future developments through the year 2061.
Dr. Robert J. Abrahart is an associate professor of geographical information science in the School of Geography at the University of Nottingham, UK. He is a computational geographer with specialist interests in neural network modeling and hydroinformatics. Dr. Linda M. See is a research scholar in the Ecosystems Services Management Program at the International Institute of Applied Systems Analysis (IIASA) in Laxenburg, Austria. Her research interests include the application of artificial intelligence and computational geography to a range of geographical problems in the human and physical domains.
Inhaltsangabe
GeoComputation. GeoComputatlon from the Perspective of the NCG. Grid Computing. Evolutionary Algorithms. Expert Systems for Planning and Decision Support. Fuzzy Modelling. Neural Networks. Multi-Temporal Self-Organising Maps (for Complex Process Classification). GeoComputation using Cellular Automata. Agent Based Modelling. Visualisation as a Tool for GeoComputation. Open Source GeoComputation/R. Location-based GeoComputation. Ubicomp. Evolving web/geoweb. Reproducible Research in GeoComputation. GeoComputation of Real Time Geodemographics. GeoComputatlon: Applications in Biology. Limits to GeoComputation. The Future of GeoComputation.
GeoComputation. GeoComputatlon from the Perspective of the NCG. Grid Computing. Evolutionary Algorithms. Expert Systems for Planning and Decision Support. Fuzzy Modelling. Neural Networks. Multi-Temporal Self-Organising Maps (for Complex Process Classification). GeoComputation using Cellular Automata. Agent Based Modelling. Visualisation as a Tool for GeoComputation. Open Source GeoComputation/R. Location-based GeoComputation. Ubicomp. Evolving web/geoweb. Reproducible Research in GeoComputation. GeoComputation of Real Time Geodemographics. GeoComputatlon: Applications in Biology. Limits to GeoComputation. The Future of GeoComputation.
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