Spatial Statistics and Digital Image Analysis

Spatial statistics is one of the most rapidly growing areas of statistics, rife with fascinating research opportunities. Yet many statisticians are unaware of those opportunities, and most students in the United States are never exposed to any course work in spatial statistics. Written to be accessible to the nonspecialist, this volume surveys the applications of spatial statistics to a wide range of areas, including image analysis, geosciences, physical chemistry, and ecology.The book describes the contributions of the mathematical sciences, summarizes the current state of knowledge, and identifies directions for research.Table of ContentsFront Matter1. Introduction2. Image Analysis and Computer Vision3. Oceanographic and Atmospheric Applications of Spatial Statistics and Digital Image Analysis4. Spatial Statistics in Environmental Science5. Geostatistical Analysis of Spatial Data6. Spatial Statistics in the Analysis of Agricultural Field Experiments7. Spatial Statistics in Ecology8. Spatial Signal-Processing in Radars and Sonars9. Stochastic Modeling in Physical Chemistry10. Stereology11. Markov Models for Speech RecognitionPlates