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Autor(en): 
  • Daniel A. Griffith
  • Jean H. P. Paelinck
  • Morphisms for Quantitative Spatial Analysis 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 2 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   Auf Bestellung (Lieferzeit unbekannt)
    Veröffentlichung:  Dezember 2018  
    Genre:  Wirtschaft / Recht 
     
    B / Econometrics / Economics and Finance / Geographical Information System / Geographical information systems / Geographical information systems & remote sensing / Geographical Information Systems/Cartography / Humanities and Social Sciences / Humanities and Social Sciences, multidisciplinary / Interdisciplinary studies / Management science / Political Economy / Probability & statistics / Quantitative Economics / Regional and Spatial Economics / regional economics / Regional Studies / Regional/Spatial Science / Social research & statistics / Spatial economics / Statistics / Statistics for Social Sciences, Humanities, Law
    ISBN:  9783030102241 
    EAN-Code: 
    9783030102241 
    Verlag:  Springer Nature EN 
    Einband:  Kartoniert  
    Sprache:  English  
    Serie:  #51 - Advanced Studies in Theoretical and Applied Econometrics  
    Dimensionen:  H 235 mm / B 155 mm / D 15 mm 
    Gewicht:  444 gr 
    Seiten:  258 
    Zus. Info:  Previously published in hardcover 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    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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