Spatial Point Process Modelling And Its Applications PDF Download
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| Author | : Adrian Baddeley |
| Publisher | : Publicacions de la Universitat Jaume I |
| Total Pages | : 320 |
| Release | : 2004 |
| Genre | : Mathematics |
| ISBN | : 9788480214759 |
Download Spatial Point Process Modelling and Its Applications Book in PDF, ePub and Kindle
Este libro de proceedings se edita para ponerlo a disposición de los asistentes a la Internacional Conference on Spatial Pont Process Modelling and its Applications (SPPA), realizada en Benicàssim en abril de 2004.
| Author | : Adrian Baddeley |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 312 |
| Release | : 2006-03-03 |
| Genre | : Mathematics |
| ISBN | : 0387311440 |
Download Case Studies in Spatial Point Process Modeling Book in PDF, ePub and Kindle
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. From the reviews: "For those interested in analyzing their spatial data, the wide variatey of examples and approaches here give a good idea of the possibilities and suggest reasonable paths to explore." Michael Sherman for the Journal of the American Statistical Association, December 2006
| Author | : Dr. Janine Illian |
| Publisher | : John Wiley & Sons |
| Total Pages | : 560 |
| Release | : 2008-04-15 |
| Genre | : Mathematics |
| ISBN | : 9780470725153 |
Download Statistical Analysis and Modelling of Spatial Point Patterns Book in PDF, ePub and Kindle
Spatial point processes are mathematical models used to describe and analyse the geometrical structure of patterns formed by objects that are irregularly or randomly distributed in one-, two- or three-dimensional space. Examples include locations of trees in a forest, blood particles on a glass plate, galaxies in the universe, and particle centres in samples of material. Numerous aspects of the nature of a specific spatial point pattern may be described using the appropriate statistical methods. Statistical Analysis and Modelling of Spatial Point Patterns provides a practical guide to the use of these specialised methods. The application-oriented approach helps demonstrate the benefits of this increasingly popular branch of statistics to a broad audience. The book: Provides an introduction to spatial point patterns for researchers across numerous areas of application Adopts an extremely accessible style, allowing the non-statistician complete understanding Describes the process of extracting knowledge from the data, emphasising the marked point process Demonstrates the analysis of complex datasets, using applied examples from areas including biology, forestry, and materials science Features a supplementary website containing example datasets. Statistical Analysis and Modelling of Spatial Point Patterns is ideally suited for researchers in the many areas of application, including environmental statistics, ecology, physics, materials science, geostatistics, and biology. It is also suitable for students of statistics, mathematics, computer science, biology and geoinformatics.
| Author | : D.J. Daley |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 487 |
| Release | : 2006-04-10 |
| Genre | : Mathematics |
| ISBN | : 0387215646 |
Download An Introduction to the Theory of Point Processes Book in PDF, ePub and Kindle
Point processes and random measures find wide applicability in telecommunications, earthquakes, image analysis, spatial point patterns, and stereology, to name but a few areas. The authors have made a major reshaping of their work in their first edition of 1988 and now present their Introduction to the Theory of Point Processes in two volumes with sub-titles Elementary Theory and Models and General Theory and Structure. Volume One contains the introductory chapters from the first edition, together with an informal treatment of some of the later material intended to make it more accessible to readers primarily interested in models and applications. The main new material in this volume relates to marked point processes and to processes evolving in time, where the conditional intensity methodology provides a basis for model building, inference, and prediction. There are abundant examples whose purpose is both didactic and to illustrate further applications of the ideas and models that are the main substance of the text.
| Author | : Adrian Baddeley |
| Publisher | : CRC Press |
| Total Pages | : 830 |
| Release | : 2015-11-11 |
| Genre | : Mathematics |
| ISBN | : 1482210215 |
Download Spatial Point Patterns Book in PDF, ePub and Kindle
Modern Statistical Methodology and Software for Analyzing Spatial Point PatternsSpatial Point Patterns: Methodology and Applications with R shows scientific researchers and applied statisticians from a wide range of fields how to analyze their spatial point pattern data. Making the techniques accessible to non-mathematicians, the authors draw on th
| Author | : Jesper Moller |
| Publisher | : CRC Press |
| Total Pages | : 320 |
| Release | : 2003-09-25 |
| Genre | : Mathematics |
| ISBN | : 9780203496930 |
Download Statistical Inference and Simulation for Spatial Point Processes Book in PDF, ePub and Kindle
Spatial point processes play a fundamental role in spatial statistics and today they are an active area of research with many new applications. Although other published works address different aspects of spatial point processes, most of the classical literature deals only with nonparametric methods, and a thorough treatment of the theory and applications of simulation-based inference is difficult to find. Written by researchers at the top of the field, this book collects and unifies recent theoretical advances and examples of applications. The authors examine Markov chain Monte Carlo algorithms and explore one of the most important recent developments in MCMC: perfect simulation procedures.
| Author | : Elias T. Krainski |
| Publisher | : CRC Press |
| Total Pages | : 284 |
| Release | : 2018-12-07 |
| Genre | : Mathematics |
| ISBN | : 0429629850 |
Download Advanced Spatial Modeling with Stochastic Partial Differential Equations Using R and INLA Book in PDF, ePub and Kindle
Modeling spatial and spatio-temporal continuous processes is an important and challenging problem in spatial statistics. Advanced Spatial Modeling with Stochastic Partial Differential Equations Using R and INLA describes in detail the stochastic partial differential equations (SPDE) approach for modeling continuous spatial processes with a Matérn covariance, which has been implemented using the integrated nested Laplace approximation (INLA) in the R-INLA package. Key concepts about modeling spatial processes and the SPDE approach are explained with examples using simulated data and real applications. This book has been authored by leading experts in spatial statistics, including the main developers of the INLA and SPDE methodologies and the R-INLA package. It also includes a wide range of applications: * Spatial and spatio-temporal models for continuous outcomes * Analysis of spatial and spatio-temporal point patterns * Coregionalization spatial and spatio-temporal models * Measurement error spatial models * Modeling preferential sampling * Spatial and spatio-temporal models with physical barriers * Survival analysis with spatial effects * Dynamic space-time regression * Spatial and spatio-temporal models for extremes * Hurdle models with spatial effects * Penalized Complexity priors for spatial models All the examples in the book are fully reproducible. Further information about this book, as well as the R code and datasets used, is available from the book website at http://www.r-inla.org/spde-book. The tools described in this book will be useful to researchers in many fields such as biostatistics, spatial statistics, environmental sciences, epidemiology, ecology and others. Graduate and Ph.D. students will also find this book and associated files a valuable resource to learn INLA and the SPDE approach for spatial modeling.
| Author | : M.N.M. van Lieshout |
| Publisher | : CRC Press |
| Total Pages | : 162 |
| Release | : 2019-03-19 |
| Genre | : Mathematics |
| ISBN | : 0429627033 |
Download Theory of Spatial Statistics Book in PDF, ePub and Kindle
Theory of Spatial Statistics: A Concise Introduction presents the most important models used in spatial statistics, including random fields and point processes, from a rigorous mathematical point of view and shows how to carry out statistical inference. It contains full proofs, real-life examples and theoretical exercises. Solutions to the latter are available in an appendix. Assuming maturity in probability and statistics, these concise lecture notes are self-contained and cover enough material for a semester course. They may also serve as a reference book for researchers. Features * Presents the mathematical foundations of spatial statistics. * Contains worked examples from mining, disease mapping, forestry, soil and environmental science, and criminology. * Gives pointers to the literature to facilitate further study. * Provides example code in R to encourage the student to experiment. * Offers exercises and their solutions to test and deepen understanding. The book is suitable for postgraduate and advanced undergraduate students in mathematics and statistics.
| Author | : Alan E. Gelfand |
| Publisher | : CRC Press |
| Total Pages | : 622 |
| Release | : 2010-03-19 |
| Genre | : Mathematics |
| ISBN | : 1420072889 |
Download Handbook of Spatial Statistics Book in PDF, ePub and Kindle
Assembling a collection of very prominent researchers in the field, the Handbook of Spatial Statistics presents a comprehensive treatment of both classical and state-of-the-art aspects of this maturing area. It takes a unified, integrated approach to the material, providing cross-references among chapters.The handbook begins with a historical intro
| Author | : D.J. Daley |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 591 |
| Release | : 2007-12-29 |
| Genre | : Mathematics |
| ISBN | : 0387498354 |
Download An Introduction to the Theory of Point Processes Book in PDF, ePub and Kindle
This is the second volume of the reworked second edition of a key work on Point Process Theory. Fully revised and updated by the authors who have reworked their 1988 first edition, it brings together the basic theory of random measures and point processes in a unified setting and continues with the more theoretical topics of the first edition: limit theorems, ergodic theory, Palm theory, and evolutionary behaviour via martingales and conditional intensity. The very substantial new material in this second volume includes expanded discussions of marked point processes, convergence to equilibrium, and the structure of spatial point processes.
