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Spatial statistics and digital image analysis / Panel on Spatial Statistics and Image Processing, Board on Mathematical Sciences, Commission on Physical Sciences, Mathematics, and Applications, National Research Council.

Contributor(s): Material type: TextTextPublication details: Washington, D.C. : National Academy Press, 1991.Description: 1 online resource (ix, 234 pages, 12 unnumbered pages of plates) : illustrationsContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 0585144761
  • 9780585144764
Subject(s): Genre/Form: Additional physical formats: Print version:: Spatial statistics and digital image analysis.DDC classification:
  • 519.5 20
LOC classification:
  • QA278.2 .S62 1991eb
Other classification:
  • SK 850
Online resources:
Contents:
Image analysis and computer vision / Donald Geman and Basilis Gidas -- Oceanographic and atmospheric applications of spatial statistics and digital image analysis / James J. Simpson -- Spatial statistics in environmental science / Peter Guttorp -- Geostatistical analysis of spatial data / Noel Cressie -- Spatial statistics in the analysis of agricultural field experiments / Julian Besag -- Spatial statistics in ecology / Peter Guttorp -- Spatial signal-processing in radars and sonars / T.T. Kadota -- Stochastic modeling in physical chemistry / Peter Clifford and N.J.B. Green -- Stereology / Adrian Baddeley -- Markov models for speech recognition / Alan F. Lippman.
Summary: "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. This book describes the contributions of the mathematical sciences, summarizes the current state of knowledge, and identifies directions for research."--Website description.
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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 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. This book describes the contributions of the mathematical sciences, summarizes the current state of knowledge, and identifies directions for research."--Website description.

Includes bibliographical references.

Image analysis and computer vision / Donald Geman and Basilis Gidas -- Oceanographic and atmospheric applications of spatial statistics and digital image analysis / James J. Simpson -- Spatial statistics in environmental science / Peter Guttorp -- Geostatistical analysis of spatial data / Noel Cressie -- Spatial statistics in the analysis of agricultural field experiments / Julian Besag -- Spatial statistics in ecology / Peter Guttorp -- Spatial signal-processing in radars and sonars / T.T. Kadota -- Stochastic modeling in physical chemistry / Peter Clifford and N.J.B. Green -- Stereology / Adrian Baddeley -- Markov models for speech recognition / Alan F. Lippman.

Print version record.

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