S+SpatialStats

1 Introduction to Spatial Data and S+SpatialStats.- 1.1 Types of Spatial Data.- 1.2 Analysis of Spatial Data.- 1.3 Stochastic Model for Spatial Data.- 1.4 Spatial Analysis Tools in S+SpatialStats.- 1.5 Limitations.- 2 Getting Started with S+SpatialStats.- 2.1 Starting and Quitting S+SpatialStats.- 2.2 Getting Help for S+SpatialStats Functions in Windows.- 2.3 Graphics Devices.- 2.4 Using Trellis Graphics in S+SpatialStats.- 2.5 Importing and Exporting Spatial Data.- 2.6 Sample Data Sets Available in S+SpatialStats.- 3 Visualizing Spatial Data.- 3.1 EDA Tools.- 3.2 Applications of EDA to Geostatistical Data.- 3.3 Applications of EDA to Lattice Data.- 3.4 Applications of EDA to Point Patterns.- 3.5 Hexagonal Binning.- 4 Analyzing Geostatistical Data.- 4.1 Variogram Estimation.- 4.2 Modeling the Empirical Variogram.- 4.3 Kriging.- 4.4 Simulating Geostatistical Data.- 5 Analyzing Lattice Data.- 5.1 Spatial Neighbors.- 5.2 Spatial Autocorrelation.- 5.3 Spatial Regression Models.- 5.4 Simulating Lattice Data.- 6 Analyzing Spatial Point Patterns.- 6.1 Objects of Class “spp”.- 6.2 Measures of Spatial Randomness.- 6.3 Examining First- and Second-Order Properties.- 6.4 Simulating Point Patterns.- 7 S+SpatialStats and GIS.- 7.1 ARC/INFO Coverages and Spatial Data Analysis.- 7.2 Example: Analysis of a Point Coverage.- 7.3 Example: Analysis of a Polygon Coverage.- 7.4 Example: Analysis of a Grid.- Appendices.- A.1.1 Requirements.- A.1.2 Installation Procedure.- A.1.3 Verifying Installation.- C Sample Data Sets.- D Function Reference.