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Case Studies in Spatial Point Process Modeling
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Case Studies in Spatial Point Process Modeling Paperback - 2005 - 2006th Edition

by Adrian Baddeley (Editor); Pablo Gregori (Editor); Jorge Mateu Mahiques (Editor)


From the publisher

Spatial point processes are complex stochastic models that describe the locations of "interesting" events, and (possibly) some information about each event. This book is focused on case studies, rather than methodological aspects of point process modelling.

From the rear cover

Point process statistics is successfully used in fields such as material science, human epidemiology, social sciences, animal epidemiology, biology, and seismology. Its further application depends greatly on good software and instructive case studies that show the way to successful work. This book satisfies this need by a presentation of the spatstat package and many statistical examples.

Researchers, spatial statisticians and scientists from biology, geosciences, materials sciences and other fields will use this book as a helpful guide to the application of point process statistics. No other book presents so many well-founded point process case studies.

Adrian Baddeley is Professor of Statistics at the University of Western Australia (Perth, Australia) and a Fellow of the Australian Academy of Science. His main research interests are in stochastic geometry, stereology, spatial statistics, image analysis and statistical software.

Pablo Gregori is senior lecturer of Statistics and Probability at the Department of Mathematics, University Jaume I of Castellon. His research fields of interest are spatial statistics, mainly on spatial point processes, and measure theory of functional analysis.

Jorge Mateu is Assistant Professor of Statistics and Probability at the Department of Mathematics, University Jaume I of Castellon and a Fellow of the Spanish Statistical Society and of Wessex Institute of Great Britain. His main research interests are in stochastic geometry and spatial statistics, mainly spatial point processes and geostatistics.

Radu Stoica obtained his Ph.D. in 2001 from the University of Nice Sophia Anitpolis. He works within the biometry group at INRA Avignon. His research interests are related to the study and the simulation of point processes applied to pattern modeling and recognition. The aimed application domains are image processing, astronomy and environmental sciences.

Dietrich Stoyan is Professor of Applied Stochastics at TU Bergakademie Freiberg, Germany. Since the end of the 1970s he has worked in the fields of stochastic geometry and spatial statistics.

Details

  • Title Case Studies in Spatial Point Process Modeling
  • Author Adrian Baddeley (Editor); Pablo Gregori (Editor); Jorge Mateu Mahiques (Editor)
  • Binding Paperback
  • Edition number 2006th
  • Edition 2006
  • Pages 310
  • Volumes 1
  • Language ENG
  • Publisher Springer
  • Date 2005-11-21
  • Illustrated Yes
  • Features Bibliography, Illustrated, Maps
  • ISBN 9780387283111 / 0387283110
  • Weight 1.04 lbs (0.47 kg)
  • Dimensions 9.21 x 6.14 x 0.7 in (23.39 x 15.60 x 1.78 cm)
  • Library of Congress subjects Spatial analysis (Statistics), Point processes
  • Library of Congress Catalog Number 2005931123
  • Dewey Decimal Code 519.23
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