- Covers the three main types of spatial data: geostatistical data, lattice data, and point patterns in theory and application - Adopts a modeling approach that ties the material into well known areas like linear models and Monte Carlo testing - Requires no previous exposure to measure theory and includes the necessary background material from stochastic process theory Spatial statistics -- one of the fastest growing areas of statistics -- has applications across a wide range of disciplines. Statistical Methods for Spatial Data Analysis takes a model-based approach and covers the theory and...