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Añadir al carritoTaschenbuch. Condición: Neu. Morphisms for Quantitative Spatial Analysis | Daniel A. Griffith (u. a.) | Taschenbuch | Advanced Studies in Theoretical and Applied Econometrics | xiii | Englisch | 2018 | Springer | EAN 9783030102241 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Idioma: Inglés
Publicado por Springer International Publishing, Springer International Publishing, 2018
ISBN 10: 3030102246 ISBN 13: 9783030102241
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Añadir al carritoTaschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book treats the notion of morphisms in spatial analysis, paralleling these concepts in spatial statistics (Part I) and spatial econometrics (Part II). The principal concept is morphism (e.g., isomorphisms, homomorphisms, and allomorphisms), which is defined as a structure preserving the functional linkage between mathematical properties or operations in spatial statistics and spatial econometrics, among other disciplines. The purpose of this book is to present selected conceptions in both domains that are structurally the same, even though their labelling and the notation for their elements may differ. As the approaches presented here are applied to empirical materials in geography and economics, the book will also be of interest to scholars of regional science, quantitative geography and the geospatial sciences. It is a follow-up to the book 'Non-standard Spatial Statistics and Spatial Econometrics' by the same authors, which was published by Springer in 2011.
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Publicado por Springer International Publishing Dez 2018, 2018
ISBN 10: 3030102246 ISBN 13: 9783030102241
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Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book treats the notion of morphisms in spatial analysis, paralleling these concepts in spatial statistics (Part I) and spatial econometrics (Part II). The principal concept is morphism (e.g., isomorphisms, homomorphisms, and allomorphisms), which is defined as a structure preserving the functional linkage between mathematical properties or operations in spatial statistics and spatial econometrics, among other disciplines. The purpose of this book is to present selected conceptions in both domains that are structurally the same, even though their labelling and the notation for their elements may differ. As the approaches presented here are applied to empirical materials in geography and economics, the book will also be of interest to scholars of regional science, quantitative geography and the geospatial sciences. It is a follow-up to the book 'Non-standard Spatial Statistics and Spatial Econometrics' by the same authors, which was published by Springer in 2011. 288 pp. Englisch.
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ISBN 10: 3030102246 ISBN 13: 9783030102241
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Añadir al carritoCondición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Addresses morphisms in spatial analysisPresents both spatial statistics and spatial econometrics topicsFeatures a special chapter on the relationship between spatial autocorrelation and spatial optimizationInclu.
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Publicado por Springer, Springer Dez 2018, 2018
ISBN 10: 3030102246 ISBN 13: 9783030102241
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Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book treats the notion of morphisms in spatial analysis, paralleling these concepts in spatial statistics (Part I) and spatial econometrics (Part II). The principal concept is morphism (e.g., isomorphisms, homomorphisms, and allomorphisms), which is defined as a structure preserving the functional linkage between mathematical properties or operations in spatial statistics and spatial econometrics, among other disciplines. The purpose of this book is to present selected conceptions in both domains that are structurally the same, even though their labelling and the notation for their elements may differ. As the approaches presented here are applied to empirical materials in geography and economics, the book will also be of interest to scholars of regional science, quantitative geography and the geospatial sciences. It is a follow-up to the book 'Non-standard Spatial Statistics and Spatial Econometrics' by the same authors, which was published by Springer in 2011.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 288 pp. Englisch.