Spatial Statistics

Case studies with real-life examples illustrate important applications of the models.

Topics covered in this book include:

• An overview of the geospatial information sciences and technology and spatial statistics

• Sampling methods and applications, including probability sampling and nonrandom sampling, and issues to consider in sampling and plot design
• Fine and coarse scale variability
• Spatial sampling schemes and spatial pattern
• Linear and spatial correlation statistics, including Moran’s I, Geary’s C, cross-correlation statistics, and inverse distance weighting
• Geospatial statistics analysis using stepwise regression, ordinary least squares (OLS), variogram, kriging, spatial auto-regression, binary classification trees, cokriging, and geospatial models for presence and absence data

• How to use R statistical software to work on statistical analyses and case studies, and to develop a geospatial statistical model

The book includes practical examples and laboratory exercises using ArcInfo, ArcView, ArcGIS, and other popular software for geospatial modeling. It is accessible to readers from various fields, without requiring advanced knowledge of geospatial information sciences or quantitative methods.