A casebook for spatial statistical data analysis : a compilation of analyses of different thematic data sets

Abstract

Introduction List of Abbreviations PART I: THEORETICAL BACKGROUND 1. Introduction 2. Important Modeling Assumptions 3. Popular Spatial Autoregressive and Geostatistical Models PART II: GEOREFERENCED DATA SET CASE STUDIES 4. Analysis of Georeferenced Socioeconomic Attribute Variables 5. Analysis of Georeferenced Natural Resources Attribute Variables 6. Analysis of Georeferenced Agricultural Yield Variables 7. Analysis of Georeferenced Pollution Variables 8. Analysis of Georeferenced Epidemiological Variables PART III: VISUALIZING WHAT IS NOT OBSERVED 9. Exploding Georeferenced Data When Maps Have Holes or Gaps: Estimating Missing Data Values and Kriging 10. Concluding Comments Epilogue Bibliography Index

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