Langue: anglais
Edité par Oxford University Press, 2025
ISBN 10 : 019897518X ISBN 13 : 9780198975182
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Langue: anglais
Edité par Oxford University Press, 2026
ISBN 10 : 019897518X ISBN 13 : 9780198975182
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Langue: anglais
Edité par Oxford University Press, 2026
ISBN 10 : 019897518X ISBN 13 : 9780198975182
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Langue: anglais
Edité par Oxford University Press, 2026
ISBN 10 : 019897518X ISBN 13 : 9780198975182
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Langue: anglais
Edité par Oxford University Press, Oxford, 2025
ISBN 10 : 019897518X ISBN 13 : 9780198975182
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Ajouter au panierPaperback. Etat : new. Paperback. In an era where geo-located point data has become the backbone of socio-economic, environmental, and urban research, understanding spatial density is crucial. Yet the tools for analysing this data have remained scattered and incomplete. Modelling Spatial Density fills a significant gap by providing a comprehensive, practical, and user-friendly guide to modelling spatial density using cutting-edge quantitative methods. Bridging theworlds of spatial statistics, spatial econometrics, and spatial machine learning, Kopczewska introduces a range of established and novel techniques, made accessible through intuitive explanations, open data, andreproducible R code. Lesser and well-known methods are elegantly combined and discussed in non-mathematical language that is accessible to social scientists. The book makes a significant contribution to the synthesis, development, and application of spatial quantitative methods for spatial density in the social and environmental sciences. Writing for researchers, policymakers, and analysts, the author demystifies complex methods, making them accessible tonon-mathematicians while maintaining the rigour expected by specialists. With a focus on practical applications, empirical examples, and actionable insights, this resource empowers readers to turn data into evidencefor decision-making. Whether you are exploring urban dynamics, environmental challenges, or socio-economic phenomena, this book provides the essential tools for spatial analysis, bringing clarity and precision to your research. Bridging the worlds of spatial statistics, spatial econometrics, and spatial machine learning, Kopczewska introduces a range of established and novel techniques in spatial density modelling, made accessible through intuitive explanations, open data, and reproducible R code. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Ajouter au panierPaperback. Etat : Brand New. 336 pages. 6.18x0.71x9.25 inches. In Stock.
Langue: anglais
Edité par Oxford University Press, 2026
ISBN 10 : 019897518X ISBN 13 : 9780198975182
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Langue: anglais
Edité par Oxford University Press, 2026
ISBN 10 : 019897518X ISBN 13 : 9780198975182
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Langue: anglais
Edité par Oxford University Press, GB, 2025
ISBN 10 : 019897518X ISBN 13 : 9780198975182
Vendeur : Rarewaves.com USA, London, LONDO, Royaume-Uni
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Ajouter au panierPaperback. Etat : New. In an era where geo-located point data has become the backbone of socio-economic, environmental, and urban research, understanding spatial density is crucial. Yet the tools for analysing this data have remained scattered and incomplete. Modelling Spatial Density fills a significant gap by providing a comprehensive, practical, and user-friendly guide to modelling spatial density using cutting-edge quantitative methods. Bridging the worlds of spatial statistics, spatial econometrics, and spatial machine learning, Kopczewska introduces a range of established and novel techniques, made accessible through intuitive explanations, open data, and reproducible R code. Lesser and well-known methods are elegantly combined and discussed in non-mathematical language that is accessible to social scientists. The book makes a significant contribution to the synthesis, development, and application of spatial quantitative methods for spatial density in the social and environmental sciences. Writing for researchers, policymakers, and analysts, the author demystifies complex methods, making them accessible to non-mathematicians while maintaining the rigour expected by specialists. With a focus on practical applications, empirical examples, and actionable insights, this resource empowers readers to turn data into evidence for decision-making. Whether you are exploring urban dynamics, environmental challenges, or socio-economic phenomena, this book provides the essential tools for spatial analysis, bringing clarity and precision to your research.
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Vendeur : PBShop.store UK, Fairford, GLOS, Royaume-Uni
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Ajouter au panierPAP. Etat : New. New Book. Shipped from UK. Established seller since 2000.
Langue: anglais
Edité par Oxford University Press, 2026
ISBN 10 : 019897518X ISBN 13 : 9780198975182
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Ajouter au panierPaperback / softback. Etat : New. New copy - Usually dispatched within 4 working days.
Langue: anglais
Edité par Oxford University Press, 2026
ISBN 10 : 019897518X ISBN 13 : 9780198975182
Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
EUR 62,83
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Ajouter au panierEtat : New. pp. 520.
Vendeur : Chiron Media, Wallingford, Royaume-Uni
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Ajouter au panierPaperback. Etat : New.
Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni
EUR 74,13
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Vendeur : Books Puddle, New York, NY, Etats-Unis
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Ajouter au panierEtat : New. pp. 520.
Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
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Vendeur : Studibuch, Stuttgart, Allemagne
EUR 26,77
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Ajouter au panierpaperback. Etat : Gut. 593 Seiten; 9780367470760.3 Gewicht in Gramm: 3.
Vendeur : Brook Bookstore On Demand, Napoli, NA, Italie
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Ajouter au panierEtat : new.
Vendeur : Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlande
Edition originale
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Ajouter au panierEtat : New. 2020. 1st Edition. Paperback. . . . . .
Langue: anglais
Edité par Taylor & Francis Ltd, London, 2020
ISBN 10 : 0367470764 ISBN 13 : 9780367470760
Vendeur : Grand Eagle Retail, Bensenville, IL, Etats-Unis
EUR 98,32
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Ajouter au panierPaperback. Etat : new. Paperback. This textbook is a comprehensive introduction to applied spatial data analysis using R. Each chapter walks the reader through a different method, explaining how to interpret the results and what conclusions can be drawn. The author team showcases key topics, including unsupervised learning, causal inference, spatial weight matrices, spatial econometrics, heterogeneity and bootstrapping. It is accompanied by a suite of data and R code on Github to help readers practise techniques via replication and exercises. This text will be a valuable resource for advanced students of econometrics, spatial planning and regional science. It will also be suitable for researchers and data scientists working with spatial data. This textbook is a comprehensive introduction to applied spatial data analysis, using R. Each chapter walks the reader through a different method, explaining how to interpret the results and what conclusions can be drawn. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Vendeur : Biblios, Frankfurt am main, HESSE, Allemagne
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Ajouter au panierEtat : New. pp. 520.
Langue: anglais
Edité par Oxford University Press, 2026
ISBN 10 : 019897518X ISBN 13 : 9780198975182
Vendeur : Speedyhen, London, Royaume-Uni
EUR 51,86
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Langue: anglais
Edité par Oxford University Press, Oxford, 2025
ISBN 10 : 019897518X ISBN 13 : 9780198975182
Vendeur : CitiRetail, Stevenage, Royaume-Uni
EUR 62,45
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Ajouter au panierPaperback. Etat : new. Paperback. In an era where geo-located point data has become the backbone of socio-economic, environmental, and urban research, understanding spatial density is crucial. Yet the tools for analysing this data have remained scattered and incomplete. Modelling Spatial Density fills a significant gap by providing a comprehensive, practical, and user-friendly guide to modelling spatial density using cutting-edge quantitative methods. Bridging theworlds of spatial statistics, spatial econometrics, and spatial machine learning, Kopczewska introduces a range of established and novel techniques, made accessible through intuitive explanations, open data, andreproducible R code. Lesser and well-known methods are elegantly combined and discussed in non-mathematical language that is accessible to social scientists. The book makes a significant contribution to the synthesis, development, and application of spatial quantitative methods for spatial density in the social and environmental sciences. Writing for researchers, policymakers, and analysts, the author demystifies complex methods, making them accessible tonon-mathematicians while maintaining the rigour expected by specialists. With a focus on practical applications, empirical examples, and actionable insights, this resource empowers readers to turn data into evidencefor decision-making. Whether you are exploring urban dynamics, environmental challenges, or socio-economic phenomena, this book provides the essential tools for spatial analysis, bringing clarity and precision to your research. Bridging the worlds of spatial statistics, spatial econometrics, and spatial machine learning, Kopczewska introduces a range of established and novel techniques in spatial density modelling, made accessible through intuitive explanations, open data, and reproducible R code. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Vendeur : Speedyhen, London, Royaume-Uni
EUR 64,81
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Ajouter au panierEtat : NEW.