Editore: Cambridge University Press, 2020
ISBN 10: 1108712932 ISBN 13: 9781108712934
Lingua: Inglese
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Aggiungi al carrelloPaperback. Condizione: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less 2.2.
Editore: Cambridge University Press, 2020
ISBN 10: 1108498981 ISBN 13: 9781108498982
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Editore: Cambridge University Press, 2020
ISBN 10: 1108712932 ISBN 13: 9781108712934
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Editore: Cambridge University Press, 2020
ISBN 10: 1108712932 ISBN 13: 9781108712934
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Editore: Cambridge University Press, 2020
ISBN 10: 1108712932 ISBN 13: 9781108712934
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Editore: Cambridge University Press, 2020
ISBN 10: 1108712932 ISBN 13: 9781108712934
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Editore: Cambridge University Press, 2020
ISBN 10: 1108712932 ISBN 13: 9781108712934
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Aggiungi al carrelloPaperback / softback. Condizione: New. New copy - Usually dispatched within 4 working days. 1040.
Editore: Cambridge University Press, 2020
ISBN 10: 1108712932 ISBN 13: 9781108712934
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Aggiungi al carrelloCondizione: New. This book presents an introductory overview of spatial data analysis methods and geoinformation analysis techniques. Each chapter introduces the related theory, explains how to interpret metrics outputs, and provides worked examples using ArcGIS and GeoDa. .
Editore: Cambridge University Press, 2020
ISBN 10: 1108712932 ISBN 13: 9781108712934
Lingua: Inglese
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Editore: Cambridge University Press, 2020
ISBN 10: 1108712932 ISBN 13: 9781108712934
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Editore: Cambridge University Press, Cambridge, 2020
ISBN 10: 1108712932 ISBN 13: 9781108712934
Lingua: Inglese
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Aggiungi al carrelloPaperback. Condizione: new. Paperback. This is an introductory textbook on spatial analysis and spatial statistics through GIS. Each chapter presents methods and metrics, explains how to interpret results, and provides worked examples. Topics include: describing and mapping data through exploratory spatial data analysis; analyzing geographic distributions and point patterns; spatial autocorrelation; spatial clustering; geographically weighted regression and OLS regression; and spatial econometrics. The worked examples link theory to practice through a single real-world case study, with software and illustrated guidance. Exercises are solved twice: first through ArcGIS, and then GeoDa. Through a simple methodological framework the book describes the dataset, explores spatial relations and associations, and builds models. Results are critically interpreted, and the advantages and pitfalls of using various spatial analysis methods are discussed. This is a valuable resource for graduate students and researchers analyzing geospatial data through a spatial analysis lens, including those using GIS in the environmental sciences, geography, and social sciences. This book presents an introductory overview of spatial data analysis methods and geoinformation analysis techniques. Each chapter introduces the related theory, explains how to interpret metrics outputs, and provides worked examples using ArcGIS and GeoDa. This is a valuable resource for graduate students and researchers analyzing geospatial data. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Editore: Cambridge University Press, 2020
ISBN 10: 1108712932 ISBN 13: 9781108712934
Lingua: Inglese
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Aggiungi al carrelloPaperback. Condizione: new. Excellent Condition.Excels in customer satisfaction, prompt replies, and quality checks.
Editore: Cambridge University Press, 2020
ISBN 10: 1108712932 ISBN 13: 9781108712934
Lingua: Inglese
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Aggiungi al carrellopaperback. Condizione: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
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Aggiungi al carrelloPaperback. Condizione: Brand New. 518 pages. 9.50x7.00x1.00 inches. In Stock.
Editore: Cambridge University Press, 2020
ISBN 10: 1108712932 ISBN 13: 9781108712934
Lingua: Inglese
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Editore: Cambridge University Press, 2020
ISBN 10: 1108498981 ISBN 13: 9781108498982
Lingua: Inglese
Da: PBShop.store US, Wood Dale, IL, U.S.A.
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Editore: Cambridge University Press Jun 2020, 2020
ISBN 10: 1108712932 ISBN 13: 9781108712934
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Neuware - An introductory overview of spatial analysis and statistics through GIS, including worked examples and critical analysis of results.
Editore: Cambridge University Press, 2020
ISBN 10: 1108498981 ISBN 13: 9781108498982
Lingua: Inglese
Da: PBShop.store UK, Fairford, GLOS, Regno Unito
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Aggiungi al carrelloHRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
Editore: Cambridge University Press, Cambridge, 2020
ISBN 10: 1108712932 ISBN 13: 9781108712934
Lingua: Inglese
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Aggiungi al carrelloPaperback. Condizione: new. Paperback. This is an introductory textbook on spatial analysis and spatial statistics through GIS. Each chapter presents methods and metrics, explains how to interpret results, and provides worked examples. Topics include: describing and mapping data through exploratory spatial data analysis; analyzing geographic distributions and point patterns; spatial autocorrelation; spatial clustering; geographically weighted regression and OLS regression; and spatial econometrics. The worked examples link theory to practice through a single real-world case study, with software and illustrated guidance. Exercises are solved twice: first through ArcGIS, and then GeoDa. Through a simple methodological framework the book describes the dataset, explores spatial relations and associations, and builds models. Results are critically interpreted, and the advantages and pitfalls of using various spatial analysis methods are discussed. This is a valuable resource for graduate students and researchers analyzing geospatial data through a spatial analysis lens, including those using GIS in the environmental sciences, geography, and social sciences. This book presents an introductory overview of spatial data analysis methods and geoinformation analysis techniques. Each chapter introduces the related theory, explains how to interpret metrics outputs, and provides worked examples using ArcGIS and GeoDa. This is a valuable resource for graduate students and researchers analyzing geospatial data. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Editore: Cambridge University Press, 2020
ISBN 10: 1108498981 ISBN 13: 9781108498982
Lingua: Inglese
Da: Books Puddle, New York, NY, U.S.A.
EUR 152,03
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Editore: Cambridge University Press, 2020
ISBN 10: 1108498981 ISBN 13: 9781108498982
Lingua: Inglese
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Editore: Cambridge University Press, 2020
ISBN 10: 1108498981 ISBN 13: 9781108498982
Lingua: Inglese
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Editore: Cambridge University Press, 2020
ISBN 10: 1108498981 ISBN 13: 9781108498982
Lingua: Inglese
Da: Majestic Books, Hounslow, Regno Unito
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Editore: Cambridge University Press, Cambridge, 2020
ISBN 10: 1108712932 ISBN 13: 9781108712934
Lingua: Inglese
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Aggiungi al carrelloPaperback. Condizione: new. Paperback. This is an introductory textbook on spatial analysis and spatial statistics through GIS. Each chapter presents methods and metrics, explains how to interpret results, and provides worked examples. Topics include: describing and mapping data through exploratory spatial data analysis; analyzing geographic distributions and point patterns; spatial autocorrelation; spatial clustering; geographically weighted regression and OLS regression; and spatial econometrics. The worked examples link theory to practice through a single real-world case study, with software and illustrated guidance. Exercises are solved twice: first through ArcGIS, and then GeoDa. Through a simple methodological framework the book describes the dataset, explores spatial relations and associations, and builds models. Results are critically interpreted, and the advantages and pitfalls of using various spatial analysis methods are discussed. This is a valuable resource for graduate students and researchers analyzing geospatial data through a spatial analysis lens, including those using GIS in the environmental sciences, geography, and social sciences. This book presents an introductory overview of spatial data analysis methods and geoinformation analysis techniques. Each chapter introduces the related theory, explains how to interpret metrics outputs, and provides worked examples using ArcGIS and GeoDa. This is a valuable resource for graduate students and researchers analyzing geospatial data. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Editore: Cambridge University Press, 2020
ISBN 10: 1108498981 ISBN 13: 9781108498982
Lingua: Inglese
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 163,22
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Editore: Cambridge University Press, 2020
ISBN 10: 1108498981 ISBN 13: 9781108498982
Lingua: Inglese
Da: THE SAINT BOOKSTORE, Southport, Regno Unito
EUR 161,09
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Aggiungi al carrelloHardback. Condizione: New. New copy - Usually dispatched within 4 working days. 1171.
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EUR 169,51
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Aggiungi al carrelloGebunden. Condizione: New. Über den AutorAfter completing his postdoctoral studies in the USA, George Grekousis now teaches geography-related courses as Associate Professor in China. His interdisciplinary research focuses on spatial analysis, geodemographics,.
Editore: Cambridge University Press, Cambridge, 2020
ISBN 10: 1108498981 ISBN 13: 9781108498982
Lingua: Inglese
Da: CitiRetail, Stevenage, Regno Unito
EUR 164,37
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Aggiungi al carrelloHardcover. Condizione: new. Hardcover. This is an introductory textbook on spatial analysis and spatial statistics through GIS. Each chapter presents methods and metrics, explains how to interpret results, and provides worked examples. Topics include: describing and mapping data through exploratory spatial data analysis; analyzing geographic distributions and point patterns; spatial autocorrelation; spatial clustering; geographically weighted regression and OLS regression; and spatial econometrics. The worked examples link theory to practice through a single real-world case study, with software and illustrated guidance. Exercises are solved twice: first through ArcGIS, and then GeoDa. Through a simple methodological framework the book describes the dataset, explores spatial relations and associations, and builds models. Results are critically interpreted, and the advantages and pitfalls of using various spatial analysis methods are discussed. This is a valuable resource for graduate students and researchers analyzing geospatial data through a spatial analysis lens, including those using GIS in the environmental sciences, geography, and social sciences. This book presents an introductory overview of spatial data analysis methods and geoinformation analysis techniques. Each chapter introduces the related theory, explains how to interpret metrics outputs, and provides worked examples using ArcGIS and GeoDa. This is a valuable resource for graduate students and researchers analyzing geospatial data. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.