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Case Studies in Spatial Point Process Modeling

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Cover of 'Case Studies in Spatial Point Process Modeling'

Table of Contents

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    Book Overview
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    Chapter 1 Fundamentals of Point Process Statistics
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    Chapter 2 Modelling Spatial Point Patterns in R
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    Chapter 3 Strong Markov Property of Poisson Processes and Slivnyak Formula
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    Chapter 4 Bayesian Analysis of Markov Point Processes
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    Chapter 5 Statistics for Locally Scaled Point Processes
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    Chapter 6 Nonparametric Testing of Distribution Functions in Germ-grain Models
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    Chapter 7 Principal Component Analysis for Spatial Point Processes — Assessing the Appropriateness of the Approach in an Ecological Context
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    Chapter 8 On Modelling of Refractory Castables by Marked Gibbs and Gibbsian-like Processes
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    Chapter 9 Source Detection in an Outbreak of Legionnaire’s Disease
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    Chapter 10 Doctors’ Prescribing Patterns in the Midi-Pyrénées rRegion of France: Point-process Aggregation
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    Chapter 11 Strain-typing Transmissible Spongiform Encephalopathies Using Replicated Spatial Data
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    Chapter 12 Modelling the Bivariate Spatial Distribution of Amacrine Cells
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    Chapter 13 Analysis of Spatial Point Patterns in Microscopic and Macroscopic Biological Image Data
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    Chapter 14 Spatial Marked Point Patterns for Herd Dispersion in a Savanna Wildlife Herbivore Community in Kenya
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    Chapter 15 Diagnostic Analysis of Space-Time Branching Processes for Earthquakes
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    Chapter 16 Assessing Spatial Point Process Models Using Weighted K-functions: Analysis of California Earthquakes
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Mentioned by

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Citations

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Readers on

mendeley
150 Mendeley
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Title
Case Studies in Spatial Point Process Modeling
Published by
Springer New York, January 2006
DOI 10.1007/0-387-31144-0
ISBNs
978-0-387-28311-1, 978-0-387-31144-9
Editors

Adrian Baddeley, Pablo Gregori, Jorge Mateu, Radu Stoica, Dietrich Stoyan

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 150 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 2%
Spain 2 1%
Indonesia 1 <1%
Uruguay 1 <1%
Germany 1 <1%
Colombia 1 <1%
Iran, Islamic Republic of 1 <1%
Greece 1 <1%
Japan 1 <1%
Other 0 0%
Unknown 138 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 33 22%
Student > Master 31 21%
Researcher 28 19%
Professor > Associate Professor 14 9%
Student > Doctoral Student 11 7%
Other 19 13%
Unknown 14 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 28 19%
Environmental Science 25 17%
Mathematics 25 17%
Engineering 10 7%
Computer Science 9 6%
Other 33 22%
Unknown 20 13%