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.
Table 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