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The guidance and special techniques provided in this handbook will allow you to understand and use complex spatial statistical techniques. You will learn how to apply proper spatial analysis techniques and why they are generally different from conventional statistical analyses. Clear and concise information on weighting, aggregation effects, sampling, spatial statistics and GIS, and visualization of spatial dependence is provided. Discussions on specific applications using actual data sets fill obvious gaps in the literature, and coverage of critical research frontiers allows readers to explore current areas of active research.
List of contents
1. Introduction: The Need for Spatial Statistics 2. Visualization of Spatial Dependence: An Elementary View of Spatial Autocorrelation 3. Spatial Sampling 4. Some Guidelines for Specifying the Geographic Weights Matrix Contained in Spatial Statistical Models 5. Aggregation Effects in Geo-referenced Data 6. Implementing Spatial Statistics on Parallel Computers 7. Spatial Statistics and GIS Applied to Internal Migration in Rwanda, Central Africa 8. Spatial Statistical Modeling of Regional Fertility Rates: A Case Study of He-Nan Province, China 9. Spatial Statistical/Econometric Versions of Simple Urban Population Density Models 10. Spatial Statistics for Analysis of Variance of Agronomic Field Trials
About the author
Arlinghaus, Sandra
Summary
This book displays various techniques from spatial statistics and illustrates them using real world data. It illustrates how techniques for spatial statistics differ from, or are similar to, corresponding techniques for classical statistics.
Report
"Practical Handbook of Spatial Statistics does achieve its objective of providing a handbook that practitioners can pick up and use immediately...most people who work with environmental data will enjoy reading about these applications and seeing how spatial statistical models can be used in practice."
-JASA, March 1999
