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Space, Structure and Randomness (eBook)

Contributions in Honor of Georges Matheron in the Fields of Geostatistics, Random Sets and Mathematical Morphology
eBook Download: PDF
2007 | 2005
XVIII, 398 Seiten
Springer New York (Verlag)
978-0-387-29115-4 (ISBN)

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Space, structure, and randomness: these are the three key concepts underlying Georges Matheron's scientific work. He first encountered them at the beginning of his career when working as a mining engineer, and then they resurfaced in fields ranging from meteorology to microscopy. What could these radically different types of applications possibly have in common? First, in each one only a single realisation of the phenomenon is available for study, but its features repeat themselves in space; second, the sampling pattern is rarely regular, and finally there are problems of change of scale.

This volume is divided in three sections on random sets, geostatistics and mathematical morphology. They reflect his professional interests and his search for underlying unity. Some readers may be surprised to find theoretical chapters mixed with applied ones. We have done this deliberately. GM always considered that the distinction between the theory and practice was purely academic.

When GM tackled practical problems, he used his skill as a physicist to extract the salient features and to select variables which could be measured meaningfully and whose values could be estimated from the available data. Then he used his outstanding ability as a mathematician to solve the problems neatly and efficiently. It was his capacity to combine a physicist's intuition with a mathematician's analytical skills that allowed him to produce new and innovative solutions to difficult problems.

The book should appeal to graduate students and researchers working in mathematics, probability, statistics, physics, spatial data analysis, and image analysis. In addition it will be of interest to those who enjoy discovering links between scientific disciplines that seem unrelated at first glance. In writing the book the contributors have tried to put GM's ideas into perspective. During his working life, GM was a genuinely creative scientist. He developed innovative concepts whose usefulness goes far beyond the confines of the discipline for which they were originally designed. This is why his work remains as pertinent today as it was when it was first written.


Space, structure, and randomness: these are the three key concepts underlying Georges Matheron's scientific work. He first encountered them at the beginning of his career when working as a mining engineer, and then they resurfaced in fields ranging from meteorology to microscopy. What could these radically different types of applications possibly have in common? First, in each one only a single realisation of the phenomenon is available for study, but its features repeat themselves in space; second, the sampling pattern is rarely regular, and finally there are problems of change of scale.This volume is divided in three sections on random sets, geostatistics and mathematical morphology. They reflect his professional interests and his search for underlying unity. Some readers may be surprised to find theoretical chapters mixed with applied ones. We have done this deliberately. GM always considered that the distinction between the theory and practice was purely academic.When GM tackled practical problems, he used his skill as a physicist to extract the salient features and to select variables which could be measured meaningfully and whose values could be estimated from the available data. Then he used his outstanding ability as a mathematician to solve the problems neatly and efficiently. It was his capacity to combine a physicist s intuition with a mathematician s analytical skills that allowed him to produce new and innovative solutions to difficult problems. The book should appeal to graduate students and researchers working in mathematics, probability, statistics, physics, spatial data analysis, and image analysis. In addition it will be of interest to those who enjoy discovering links between scientific disciplines that seem unrelated at first glance. In writing the book the contributors have tried to put GM s ideas into perspective. During his working life, GM was a genuinely creative scientist. He developed innovativeconcepts whose usefulness goes far beyond the confines of the discipline for which they were originally designed. This is why his work remains as pertinent today as it was when it was first written.

Personal Reminiscences of Georges Matheron 7
A few words about Georges Matheron ( 1930- 2000) 11
Contents 15
List of Contributors 17
Geostatistics 21
The genesis of geostatistics in gold and diamond industries 22
Concepts and Methods of Geostatistics 34
Prediction by conditional simulation: models and algorithms 55
Flow in porous media: An attempt to outline Georges Matheron’s contributions 85
Over Thirty Years of Petroleum Geostatistics 104
The expansion of environmental geostatistics 120
Random Sets 147
Random Closed Sets 148
The Boolean Model: from Matheron till Today 163
Random Structures in Physics 194
Mathematical Morphology 231
Mophological Operators for the Segmentation of Colour Images 232
Automatic design of morphological operators 265
Morphological Decomposition Systems with Perfect Reconstruction: From Pyramids to Wavelets 287
Morphological segmentation revisited 323
Ubiquity of the Distance Function in Mathematical Morphology 356
Partial Differential Equations for Morphological Operators 376
Index 398

Erscheint lt. Verlag 23.12.2007
Reihe/Serie Lecture Notes in Statistics
Lecture Notes in Statistics
Zusatzinfo XVIII, 398 p. 121 illus.
Verlagsort New York
Sprache englisch
Themenwelt Mathematik / Informatik Informatik Grafik / Design
Mathematik / Informatik Mathematik Statistik
Mathematik / Informatik Mathematik Wahrscheinlichkeit / Kombinatorik
Technik Elektrotechnik / Energietechnik
Schlagworte algorithms • Data Analysis • differential equation • Image Analysis • Mathematica • Mathematical Morphology • Probability • Sets • Simulation • Statistics • Wavelets
ISBN-10 0-387-29115-6 / 0387291156
ISBN-13 978-0-387-29115-4 / 9780387291154
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