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Editore: Taylor & Francis Inc, Portland, 2016
ISBN 10: 1498711545 ISBN 13: 9781498711548
Lingua: Inglese
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
EUR 111,88
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Aggiungi al carrelloPaperback. Condizione: new. Paperback. Generate and Analyze Multi-Level Data Spatial microsimulation involves the generation, analysis, and modeling of individual-level data allocated to geographical zones. Spatial Microsimulation with R is the first practical book to illustrate this approach in a modern statistical programming language.Get Insight into Complex BehaviorsThe book progresses from the principles underlying population synthesis toward more complex issues such as household allocation and using the results of spatial microsimulation for agent-based modeling. This equips you with the skills needed to apply the techniques to real-world situations. The book demonstrates methods for population synthesis by combining individual and geographically aggregated datasets using the recent R packages ipfp and mipfp. This approach represents the "best of both worlds" in terms of spatial resolution and person-level detail, overcoming issues of data confidentiality and reproducibility. Implement the Methods on Your Own DataFull of reproducible examples using code and data, the book is suitable for students and applied researchers in health, economics, transport, geography, and other fields that require individual-level data allocated to small geographic zones. By explaining how to use tools for modeling phenomena that vary over space, the book enhances your knowledge of complex systems and empowers you to provide evidence-based policy guidance. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
EUR 121,76
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Da: California Books, Miami, FL, U.S.A.
EUR 125,89
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Da: Majestic Books, Hounslow, Regno Unito
EUR 119,64
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Da: Books Puddle, New York, NY, U.S.A.
EUR 126,73
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EUR 114,94
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EUR 114,95
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Aggiungi al carrelloPaperback / softback. Condizione: New. New copy - Usually dispatched within 4 working days. 447.
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 127,40
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Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 135,18
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EUR 134,30
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EUR 165,33
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Aggiungi al carrelloPaperback. Condizione: Brand New. 259 pages. 9.50x6.50x0.40 inches. In Stock.
Editore: Chapman and Hall/CRC 2017-07-03, 2017
ISBN 10: 1138424072 ISBN 13: 9781138424074
Lingua: Inglese
Da: Chiron Media, Wallingford, Regno Unito
EUR 178,94
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Aggiungi al carrelloHardcover. Condizione: New.
Editore: Taylor & Francis Inc, Portland, 2016
ISBN 10: 1498711545 ISBN 13: 9781498711548
Lingua: Inglese
Da: AussieBookSeller, Truganina, VIC, Australia
EUR 176,19
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Aggiungi al carrelloPaperback. Condizione: new. Paperback. Generate and Analyze Multi-Level Data Spatial microsimulation involves the generation, analysis, and modeling of individual-level data allocated to geographical zones. Spatial Microsimulation with R is the first practical book to illustrate this approach in a modern statistical programming language.Get Insight into Complex BehaviorsThe book progresses from the principles underlying population synthesis toward more complex issues such as household allocation and using the results of spatial microsimulation for agent-based modeling. This equips you with the skills needed to apply the techniques to real-world situations. The book demonstrates methods for population synthesis by combining individual and geographically aggregated datasets using the recent R packages ipfp and mipfp. This approach represents the "best of both worlds" in terms of spatial resolution and person-level detail, overcoming issues of data confidentiality and reproducibility. Implement the Methods on Your Own DataFull of reproducible examples using code and data, the book is suitable for students and applied researchers in health, economics, transport, geography, and other fields that require individual-level data allocated to small geographic zones. By explaining how to use tools for modeling phenomena that vary over space, the book enhances your knowledge of complex systems and empowers you to provide evidence-based policy guidance. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Da: SN Books Ltd, Thetford, Regno Unito
EUR 182,35
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Aggiungi al carrellopaperback. Condizione: Very Good. Orders shipped daily from the UK. Professional seller.
EUR 243,80
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EUR 226,88
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Aggiungi al carrelloGebunden. Condizione: New. Robin Lovelace is a University Academic Fellow at the University of Leeds specializing in methods of spatial data analysis and applied transport modeling. Creator of the stplanr package and a number of popular tutorials, he is an experienced R user, teac.
EUR 271,49
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Da: THE SAINT BOOKSTORE, Southport, Regno Unito
EUR 105,19
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Aggiungi al carrelloPaperback / softback. Condizione: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.
Da: Revaluation Books, Exeter, Regno Unito
EUR 127,44
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Aggiungi al carrelloPaperback. Condizione: Brand New. 259 pages. 9.50x6.50x0.40 inches. In Stock. This item is printed on demand.
Da: moluna, Greven, Germania
EUR 132,14
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Aggiungi al carrelloKartoniert / Broschiert. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Robin Lovelace is a University Academic Fellow at the University of Leeds specializing in methods of spatial data analysis and applied transport modeling. Creator of the stplanr package and a number of popular tutorials, he is an experie.
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 175,08
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This is the first practical book on spatial microsimulation, an approach that involves the generation, analysis, and modeling of individual-level data allocated to geographical zones. Full of reproducible examples using code and data, the book demonstrates methods for population synthesis by combining individual and geographically aggregated datasets of administrative zones. This approach represents the 'best of both worlds' in terms of spatial resolution and person-level detail, overcoming issues of data confidentiality and reproducibility.