Practical Handbook of Spatial Statistics

摘要: Introduction: The Need for Spatial Statistics, D.A. Griffith Components of Geographic Information and Analysis Background: Importance Locational Statistical Estimator Properties Organization the Book Summary References Visualization Dependence: An Elementary View Autocorrelation, I.R. Vasiliev Editorial Note Introduction Mean Other Basic Concepts Autocorrelation Map Complexity Representations Changes in Space Time Summary: Rules-of-Thumb Sampling, S.V. Stehman W.S. Overton Universes Populations Sampling Fundamentals a Continuous Universe Spatially Distributed Objects via Areal Samples Inference Applications Empirical Evaluation Strategies Some Guidelines Specifying Geopraphic Weights Matrix Contained Models, Background Criteria Implications Aggregation Effects Geo-Referenced Data, D.W.S. Wong Dependency Data Source MAUP: Dependence Averaging Process General Impacts MAUP on Approaches to "Solving" Analyzing From Different Scales Conclusions Implementing Statistics Parallel Computers, B. Li A Brief Processing Software Models Implementations Performance Appendix I: Test Coefficients II: Code GIS Applied Internal Migration Rwanda, Central Africa, D.G. Brown Study Area Database Description Management Traditional Regression Mapping Residuals Model Modeling Regional Fertility Rates: Case He-Nan Province, China, H.M. Feng Preliminary Considerations Application Dataset Specification Explicit Variables Classical Linear In Search Pattern Interpretation Set Maps III: Scatter-Plots Statistical/Econometric Versions Simple Urban Population Density A. Can Selected Metropolitan Landscapes Preliminaries Estimating Autoregressive Estimated Implementation Findings Variance Agronomic Field Trials, D.S. Long Example Goals Response Calculating Moran Coefficient Necessary Eigenvalues Jacobian Term an Comparison AR-based ANOVA Conventional Acknowledgments Index