Case studies in spatial point process modeling

Adrian Baddeley

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5h 6m

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11

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306

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Case studies in spatial point process modeling

by Adrian Baddeley

November 21, 2005

Springer

306

9780387283111

0387283110

Description

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.

Frequently Asked Questions

How many pages are in Case studies in spatial point process modeling?

This edition of Case studies in spatial point process modeling has approximately 306 pages. Please note, this is an estimate and the exact page count can vary between hardcover, paperback, and e-book versions.

How long does it take to read Case studies in spatial point process modeling?

For most readers, Case studies in spatial point process modeling typically takes between 6h 23m and 4h 15m to complete. This is based on the book's length of approximately 76,500 words and common reading speeds.

Here's a detailed breakdown: • Continuous reading at 250 WPM: approximately 5h 6m of focused reading • Casual reading (30 minutes/day): you could finish in roughly 11 days • Estimated word count: 76,500 words

Your individual reading time will vary based on your personal reading pace, the amount of daily reading time, and your familiarity with the subject matter.

What is the word count of Case studies in spatial point process modeling?

The estimated word count for Case studies in spatial point process modeling is approximately 76,500 words. This figure is calculated using industry-standard methods that consider genre-specific word density patterns, typical formatting and layout characteristics, and standard words-per-page ratios for published books.

This is an approximation — actual word count may vary based on font size, formatting, edition, and the presence of illustrations or charts.

Who is the author of Case studies in spatial point process modeling?

Case studies in spatial point process modeling was written by Adrian Baddeley.

When was Case studies in spatial point process modeling published?

The publication date for this specific edition is November 21, 2005. The original work may have been published on a different date.