Spatial Statistics and Digital Image Analysis

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Size: 244 pages, 8.5 x 11

Publication Year:1991

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PAPERBACK ISBN-10: 0-309-04376-X ISBN-13: 978-0-309-04376-2	$65.25	Add to Cart

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Authors:
Panel on Spatial Statistics and Image Processing, Board on Mathematical Sciences, National Research Council
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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 ...
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"Good motivations and clear expository writing for the most part. Worth a look."Journal of the American Statistical Association
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Table of Contents
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Front Matter	i-x
1. Introduction	1-8	(skim)
2. Image Analysis and Computer Vision	9-36	(skim)
3. Oceanographic and Atmospheric Applications of Spatial Statistics and Digital Image Analysis	37-70	(skim)
4. Spatial Statistics in Environmental Science	71-86	(skim)
5. Geostatistical Analysis of Spatial Data	87-108	(skim)
6. Spatial Statistics in the Analysis of Agricultural Field Experiments	109-128	(skim)
7. Spatial Statistics in Ecology	129-146	(skim)
8. Spatial Signal-Processing in Radars and Sonars	147-158	(skim)
9. Stochastic Modeling in Physical Chemistry	159-180	(skim)
10. Stereology	181-216	(skim)
11. Markov Models for Speech Recognition	217-234	(skim)
Plates	235-246	(skim)

Description

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.

Reviews

"Good motivations and clear expository writing for the most part. Worth a look."Journal of the American Statistical Association

Spatial Statistics and Digital Image Analysis

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