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Aggiungi al carrelloCondizione: New. For those addressing ecological and natural resource management problems, this volume presents a set of perspectives on incorporating the spatial representation and analytical power of GIS with agent-based modelling of evolutionary and non-linear processes and phenomena. Series: Santa Fe Institute Studies in the Sciences of Complexity. Num Pages: 344 pages, numerous halftones & figures. BIC Classification: RGB; RGW; RNF; UY. Category: (P) Professional & Vocational. Dimension: 243 x 160 x 20. Weight in Grams: 613. . 2002. Illustrated. hardcover. . . . .
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Aggiungi al carrelloCondizione: New. For those addressing ecological and natural resource management problems, this volume presents a set of perspectives on incorporating the spatial representation and analytical power of GIS with agent-based modelling of evolutionary and non-linear processes and phenomena. Series: Santa Fe Institute Studies in the Sciences of Complexity. Num Pages: 344 pages, numerous halftones & figures. BIC Classification: RGB; RGW; RNF; UY. Category: (P) Professional & Vocational. Dimension: 243 x 160 x 20. Weight in Grams: 613. . 2002. Illustrated. hardcover. . . . . Books ship from the US and Ireland.
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Aggiungi al carrelloCondizione: new. Questo è un articolo print on demand.
Condizione: New. Print on Demand pp. 344.
Lingua: Inglese
Editore: Oxford University Press, Oxford, 2002
ISBN 10: 0195143361 ISBN 13: 9780195143362
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Hardcover. Condizione: new. Hardcover. For those addressing ecological and natural resource management problems this volume presents a set of coherent, cross-referenced perspectives on incorporating the spatial representation and analytical power of GIS with agent-based modeling of evolutionary and non-linear processes and phenomena. Many recent advances in software algorithms for incorporating geographic data in modeling social and ecological behaviors and also the success in applying such algorithmshave not been adequately represented in the present literature. This book fills that gap and provides much needed information on applications for the research community as well as those in the managementof natural resources. For those addressing ecological and natural resource management problems this volume presents a set of cross-referenced perspectives on incorporating the spatial representation and analytical power of GIS with agent-based modeling of evolutionary and non-linear processes and phenomena. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Lingua: Inglese
Editore: Oxford University Press, Oxford, 2002
ISBN 10: 0195143361 ISBN 13: 9780195143362
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Aggiungi al carrelloHardcover. Condizione: new. Hardcover. For those addressing ecological and natural resource management problems this volume presents a set of coherent, cross-referenced perspectives on incorporating the spatial representation and analytical power of GIS with agent-based modeling of evolutionary and non-linear processes and phenomena. Many recent advances in software algorithms for incorporating geographic data in modeling social and ecological behaviors and also the success in applying such algorithmshave not been adequately represented in the present literature. This book fills that gap and provides much needed information on applications for the research community as well as those in the managementof natural resources. For those addressing ecological and natural resource management problems this volume presents a set of cross-referenced perspectives on incorporating the spatial representation and analytical power of GIS with agent-based modeling of evolutionary and non-linear processes and phenomena. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Aggiungi al carrelloCondizione: New. Print on Demand pp. 344 52:B&W 6.14 x 9.21in or 234 x 156mm (Royal 8vo) Case Laminate on White w/Gloss Lam.
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Aggiungi al carrelloBuch. Condizione: Neu. Integrating Geographic Information Systems and Agent-Based Modeling Techniques for Simulating Social and Ecological Processes | Randy Gimblett | Buch | Gebunden | Englisch | 2002 | Oxford University Press | EAN 9780195143362 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
Lingua: Inglese
Editore: Oxford University Press, Oxford, 2002
ISBN 10: 0195143361 ISBN 13: 9780195143362
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Aggiungi al carrelloHardcover. Condizione: new. Hardcover. For those addressing ecological and natural resource management problems this volume presents a set of coherent, cross-referenced perspectives on incorporating the spatial representation and analytical power of GIS with agent-based modeling of evolutionary and non-linear processes and phenomena. Many recent advances in software algorithms for incorporating geographic data in modeling social and ecological behaviors and also the success in applying such algorithmshave not been adequately represented in the present literature. This book fills that gap and provides much needed information on applications for the research community as well as those in the managementof natural resources. For those addressing ecological and natural resource management problems this volume presents a set of cross-referenced perspectives on incorporating the spatial representation and analytical power of GIS with agent-based modeling of evolutionary and non-linear processes and phenomena. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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Aggiungi al carrelloBuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This volume presents a set of coherent, cross-referenced perspectiveson incorporating the spatial representation and analytical power ofGIS with agent-based modelling of evolutionary and non-linearprocesses and phenomena. Many recent advances in software algorithmsfor incorporating geographic data in modeling social and ecologicalbehaviors, and successes in applying such algorithms, had not beenadequately reported in the literature. This book seeks to serve as thestandard guide to this broad area.