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Non-standard Spatial Statistics and Spatial Econometrics

  • Book
  • © 2011

Overview

Authors:
  1. Daniel A. Griffith

    1. School of Economic, Political &, Policy Sciences, University of Texas, Dallas, Richardson, USA

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    You can also search for this author in PubMed   Google Scholar

  2. Jean H. Paul Paelinck

    1. Rotterdam, Netherlands

    View author publications

    You can also search for this author in PubMed   Google Scholar

  • ARS paper is presented in its unabridged version
  • Previously unpublished spatial statistics and spatial econometrics work is presented
  • An historical background for this work is summarized
  • Includes supplementary material: sn.pub/extras

Part of the book series: Advances in Geographic Information Science (AGIS)

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Table of contents (18 chapters)

  1. Front Matter

    Pages i-xxxv
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  2. Non-standard Spatial Statistics

    1. Front Matter

      Pages 1-1
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  3. Non-standard spatial statistics

    1. Introduction: Spatial Statistics

      • Daniel A. Griffith, Jean H.P. Paelinck
      Pages 3-3

    2. Individual Versus Ecological Analyses

      • Daniel A. Griffith, Jean H.P. Paelinck
      Pages 5-23

    3. Statistical Models for Spatial Data: Some Linkages and Communalities

      • Daniel A. Griffith, Jean H.P. Paelinck
      Pages 25-35

    4. Frequency Distributions for Simulated Spatially Autocorrelated Random Variables

      • Daniel A. Griffith, Jean H.P. Paelinck
      Pages 37-73

    5. Understanding Correlations Among Spatial Processes

      • Daniel A. Griffith, Jean H.P. Paelinck
      Pages 75-95

    6. Spatially Structured Random Effects: A Comparison of Three Popular Specifications

      • Daniel A. Griffith, Jean H.P. Paelinck
      Pages 97-115

    7. Spatial Filter Versus Conventional Spatial Model Specifications: Some Comparisons

      • Daniel A. Griffith, Jean H.P. Paelinck
      Pages 117-149

    8. The Role of Spatial Autocorrelation in Prioritizing Sites Within a Geographic Landscape

      • Daniel A. Griffith, Jean H.P. Paelinck
      Pages 151-170

    9. General Conclusions: Spatial Statistics

      • Daniel A. Griffith, Jean H.P. Paelinck
      Pages 171-173

  4. Non-standard Spatial Econometrics

    1. Front Matter

      Pages 175-175
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  5. Non-standard spatial econometrics

    1. Introduction: Spatial Econometrics

      • Daniel A. Griffith, Jean H.P. Paelinck
      Pages 177-177

    2. A Mixed Linear-Logarithmic Specification for Lotka-Volterra Models with Endogenously Generated SDLS-Variables

      • Daniel A. Griffith, Jean H.P. Paelinck
      Pages 179-187

    3. Selecting Spatial Regimes by Threshold Analysis

      • Daniel A. Griffith, Jean H.P. Paelinck
      Pages 189-197

    4. Finite Automata

      • Daniel A. Griffith, Jean H.P. Paelinck
      Pages 199-206

    5. Learning from Residuals

      • Daniel A. Griffith, Jean H.P. Paelinck
      Pages 207-215

    6. Verhulst and Poisson Distributions

      • Daniel A. Griffith, Jean H.P. Paelinck
      Pages 217-225

    7. Qualireg, A Qualitative Regression Method

      • Daniel A. Griffith, Jean H.P. Paelinck
      Pages 227-233

    8. Filtering Complexity for Observational Errors and Spatial Bias

      • Daniel A. Griffith, Jean H.P. Paelinck
      Pages 235-242
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Keywords

About this book

Despite spatial statistics and spatial econometrics both being recent sprouts of the general tree "spatial analysis with measurement"—some may remember the debate after WWII about "theory without measurement" versus "measurement without theory"—several general themes have emerged in the pertaining literature. But exploring selected other fields of possible interest is tantalizing, and this is what the authors intend to report here, hoping that they will suscitate interest in the methodologies exposed and possible further applications of these methodologies. The authors hope that reactions about their publication will ensue, and they would be grateful to reader(s) motivated by some of the research efforts exposed hereafter letting them know about these experiences.

Authors and Affiliations

  • School of Economic, Political &, Policy Sciences, University of Texas, Dallas, Richardson, USA

    Daniel A. Griffith

  • Rotterdam, Netherlands

    Jean H. Paul Paelinck

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