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 Contents
|2. Image Analysis and Computer Vision||9-36|
|3. Oceanographic and Atmospheric Applications of Spatial Statistics and Digital Image Analysis||37-70|
|4. Spatial Statistics in Environmental Science||71-86|
|5. Geostatistical Analysis of Spatial Data||87-108|
|6. Spatial Statistics in the Analysis of Agricultural Field Experiments||109-128|
|7. Spatial Statistics in Ecology||129-146|
|8. Spatial Signal-Processing in Radars and Sonars||147-158|
|9. Stochastic Modeling in Physical Chemistry||159-180|
|11. Markov Models for Speech Recognition||217-234|
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