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Morphisms for Quantitative Spatial Analysis

  • Daniel A. Griffith
  • Jean H. P. Paelinck

Part of the Advanced Studies in Theoretical and Applied Econometrics book series (ASTA, volume 51)

Table of contents

  1. Front Matter
    Pages i-xv
  2. Spatial Statistics

    1. Front Matter
      Pages 1-1
    2. Daniel A. Griffith, Jean H. P. Paelinck
      Pages 3-8
    3. Daniel A. Griffith, Jean H. P. Paelinck
      Pages 9-24
    4. Daniel A. Griffith, Jean H. P. Paelinck
      Pages 25-34
    5. Daniel A. Griffith, Jean H. P. Paelinck
      Pages 35-47
    6. Daniel A. Griffith, Jean H. P. Paelinck
      Pages 49-60
    7. Daniel A. Griffith, Jean H. P. Paelinck
      Pages 61-71
    8. Daniel A. Griffith, Jean H. P. Paelinck
      Pages 89-97
    9. Daniel A. Griffith, Jean H. P. Paelinck
      Pages 99-112
    10. Daniel A. Griffith, Jean H. P. Paelinck
      Pages 113-121
  3. Spatial Econometrics

    1. Front Matter
      Pages 123-123
    2. Daniel A. Griffith, Jean H. P. Paelinck
      Pages 125-126
    3. Daniel A. Griffith, Jean H. P. Paelinck
      Pages 127-147
    4. Daniel A. Griffith, Jean H. P. Paelinck
      Pages 149-166
    5. Daniel A. Griffith, Jean H. P. Paelinck
      Pages 167-176
    6. Daniel A. Griffith, Jean H. P. Paelinck
      Pages 177-185
    7. Daniel A. Griffith, Jean H. P. Paelinck
      Pages 187-200
    8. Daniel A. Griffith, Jean H. P. Paelinck
      Pages 201-213
    9. Daniel A. Griffith, Jean H. P. Paelinck
      Pages 215-225
    10. Daniel A. Griffith, Jean H. P. Paelinck
      Pages 227-236
    11. Daniel A. Griffith, Jean H. P. Paelinck
      Pages 237-254
    12. Daniel A. Griffith, Jean H. P. Paelinck
      Pages 255-258
  4. Back Matter
    Pages 259-270

About this book

Introduction

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. 

Keywords

Spatial statistics Spatial econometrics Spatial analysis Morphisms in spatial analysis Applied spatial analysis Space-time autocorrelation Space-time data Semi-Saturated Fixed Effects Large georeferenced datasets Tinbengen-Bos systems Time-space in econometrics Hybrid dynamical systems Non-standard clustering Linear expenditure systems Structural indicators

Authors and affiliations

  • Daniel A. Griffith
    • 1
  • Jean H. P. Paelinck
    • 2
  1. 1.University of Texas at DallasRichardsonUSA
  2. 2.George Mason UniversityFairfax, VAUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-72553-6
  • Copyright Information Springer International Publishing AG 2018
  • Publisher Name Springer, Cham
  • eBook Packages Economics and Finance
  • Print ISBN 978-3-319-72552-9
  • Online ISBN 978-3-319-72553-6
  • Series Print ISSN 1570-5811
  • Series Online ISSN 2214-7977
  • Buy this book on publisher's site