Case Studies In Spatial Point Process Modeling

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Case Studies in Spatial Point Process Modeling

Adrian Baddeley,Pablo Gregori,Jorge Mateu,Radu Stoica,Dietrich Stoyan
Case Studies in Spatial Point Process Modeling Book PDF

Author : Adrian Baddeley,Pablo Gregori,Jorge Mateu,Radu Stoica,Dietrich Stoyan
Publisher : Unknown
Page : 311 pages
File Size : 40,7 Mb
Release : 2006
Category : Distribution (Probability theory)
ISBN : 6610537755

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Case Studies in Spatial Point Process Modeling by Adrian Baddeley,Pablo Gregori,Jorge Mateu,Radu Stoica,Dietrich Stoyan Pdf

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.

Case Studies in Spatial Point Process Modeling

Adrian Baddeley,Pablo Gregori,Jorge Mateu Mahiques,Radu Stoica,Dietrich Stoyan
Case Studies in Spatial Point Process Modeling Book PDF

Author : Adrian Baddeley,Pablo Gregori,Jorge Mateu Mahiques,Radu Stoica,Dietrich Stoyan
Publisher : Springer Science & Business Media
Page : 312 pages
File Size : 47,8 Mb
Release : 2006-03-03
Category : Mathematics
ISBN : 9780387311449

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Case Studies in Spatial Point Process Modeling by Adrian Baddeley,Pablo Gregori,Jorge Mateu Mahiques,Radu Stoica,Dietrich Stoyan Pdf

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

Handbook of Spatial Statistics

Alan E. Gelfand,Peter Diggle,Peter Guttorp,Montserrat Fuentes
Handbook of Spatial Statistics Book PDF

Author : Alan E. Gelfand,Peter Diggle,Peter Guttorp,Montserrat Fuentes
Publisher : CRC Press
Page : 622 pages
File Size : 55,9 Mb
Release : 2010-03-19
Category : Mathematics
ISBN : 9781420072884

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Handbook of Spatial Statistics by Alan E. Gelfand,Peter Diggle,Peter Guttorp,Montserrat Fuentes Pdf

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

Spatial Point Patterns

Adrian Baddeley,Ege Rubak,Rolf Turner
Spatial Point Patterns Book PDF

Author : Adrian Baddeley,Ege Rubak,Rolf Turner
Publisher : CRC Press
Page : 830 pages
File Size : 40,9 Mb
Release : 2015-11-11
Category : Mathematics
ISBN : 9781482210217

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Spatial Point Patterns by Adrian Baddeley,Ege Rubak,Rolf Turner Pdf

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

Statistical Analysis and Modelling of Spatial Point Patterns

Dr. Janine Illian,Prof. Antti Penttinen,Dr. Helga Stoyan,Dr. Dietrich Stoyan
Statistical Analysis and Modelling of Spatial Point Patterns Book PDF

Author : Dr. Janine Illian,Prof. Antti Penttinen,Dr. Helga Stoyan,Dr. Dietrich Stoyan
Publisher : John Wiley & Sons
Page : 560 pages
File Size : 43,6 Mb
Release : 2008-04-15
Category : Mathematics
ISBN : 047072515X

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Statistical Analysis and Modelling of Spatial Point Patterns by Dr. Janine Illian,Prof. Antti Penttinen,Dr. Helga Stoyan,Dr. Dietrich Stoyan Pdf

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.

Spatial Point Process Modelling and Its Applications

Adrian Baddeley
Spatial Point Process Modelling and Its Applications Book PDF

Author : Adrian Baddeley
Publisher : Publicacions de la Universitat Jaume I
Page : 320 pages
File Size : 48,7 Mb
Release : 2004
Category : Mathematics
ISBN : 8480214759

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Spatial Point Process Modelling and Its Applications by Adrian Baddeley Pdf

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.

Advances in Geo-Spatial Information Science

Wenzhong Shi,Michael Goodchild,Brian Lees,Yee Leung
Advances in Geo Spatial Information Science Book PDF

Author : Wenzhong Shi,Michael Goodchild,Brian Lees,Yee Leung
Publisher : CRC Press
Page : 338 pages
File Size : 45,5 Mb
Release : 2012-06-12
Category : Technology & Engineering
ISBN : 9780415620932

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Advances in Geo-Spatial Information Science by Wenzhong Shi,Michael Goodchild,Brian Lees,Yee Leung Pdf

Advances in Geo-Spatial Information Science presents recent advances regarding fundamental issues of geo-spatial information science (space and time, spatial analysis, uncertainty modeling and geo-visualization), and new scientific and technological research initiatives for geo-spatial information science (such as spatial data mining, mobile data modeling, and location-based services). The book contains selected and revised papers presented at the joint International Conference on Theory, Data Handling and Modelling in GeoSpatial Information Science (Hong Kong, 26–28 May 2010), and brings together three related international academic communities: spatial information science, spatial data handling, and modeling geographic systems. Advances in Geo-Spatial Information Science will be of interest for academics and professionals interested in spatial information science, spatial data handling, and modeling of geographic systems.

Hierarchical Modeling and Analysis for Spatial Data

Sudipto Banerjee,Bradley P. Carlin,Alan E. Gelfand
Hierarchical Modeling and Analysis for Spatial Data Book PDF

Author : Sudipto Banerjee,Bradley P. Carlin,Alan E. Gelfand
Publisher : CRC Press
Page : 583 pages
File Size : 42,7 Mb
Release : 2014-09-12
Category : Mathematics
ISBN : 9781439819180

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Hierarchical Modeling and Analysis for Spatial Data by Sudipto Banerjee,Bradley P. Carlin,Alan E. Gelfand Pdf

Keep Up to Date with the Evolving Landscape of Space and Space-Time Data Analysis and ModelingSince the publication of the first edition, the statistical landscape has substantially changed for analyzing space and space-time data. More than twice the size of its predecessor, Hierarchical Modeling and Analysis for Spatial Data, Second Edition reflec

An Introduction to the Theory of Point Processes

D.J. Daley,David Vere-Jones
An Introduction to the Theory of Point Processes Book PDF

Author : D.J. Daley,David Vere-Jones
Publisher : Springer Science & Business Media
Page : 591 pages
File Size : 53,5 Mb
Release : 2007-12-29
Category : Mathematics
ISBN : 9780387498355

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An Introduction to the Theory of Point Processes by D.J. Daley,David Vere-Jones Pdf

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.

Stochastic Geometry

David Coupier
Stochastic Geometry Book PDF

Author : David Coupier
Publisher : Springer
Page : 232 pages
File Size : 48,5 Mb
Release : 2019-04-09
Category : Mathematics
ISBN : 9783030135478

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Stochastic Geometry by David Coupier Pdf

This volume offers a unique and accessible overview of the most active fields in Stochastic Geometry, up to the frontiers of recent research. Since 2014, the yearly meeting of the French research structure GDR GeoSto has been preceded by two introductory courses. This book contains five of these introductory lectures. The first chapter is a historically motivated introduction to Stochastic Geometry which relates four classical problems (the Buffon needle problem, the Bertrand paradox, the Sylvester four-point problem and the bicycle wheel problem) to current topics. The remaining chapters give an application motivated introduction to contemporary Stochastic Geometry, each one devoted to a particular branch of the subject: understanding spatial point patterns through intensity and conditional intensities; stochastic methods for image analysis; random fields and scale invariance; and the theory of Gibbs point processes. Exposing readers to a rich theory, this book will encourage further exploration of the subject and its wide applications.

Advanced Spatial Modeling with Stochastic Partial Differential Equations Using R and INLA

Elias T. Krainski,Virgilio Gómez-Rubio,Haakon Bakka,Amanda Lenzi,Daniela Castro-Camilo,Daniel Simpson,Finn Lindgren,Håvard Rue
Advanced Spatial Modeling with Stochastic Partial Differential Equations Using R and INLA Book PDF

Author : Elias T. Krainski,Virgilio Gómez-Rubio,Haakon Bakka,Amanda Lenzi,Daniela Castro-Camilo,Daniel Simpson,Finn Lindgren,Håvard Rue
Publisher : CRC Press
Page : 284 pages
File Size : 54,5 Mb
Release : 2018-12-07
Category : Mathematics
ISBN : 9780429629853

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Advanced Spatial Modeling with Stochastic Partial Differential Equations Using R and INLA by Elias T. Krainski,Virgilio Gómez-Rubio,Haakon Bakka,Amanda Lenzi,Daniela Castro-Camilo,Daniel Simpson,Finn Lindgren,Håvard Rue Pdf

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.

Statistics for Spatio-Temporal Data

Noel Cressie,Christopher K. Wikle
Statistics for Spatio Temporal Data Book PDF

Author : Noel Cressie,Christopher K. Wikle
Publisher : John Wiley & Sons
Page : 624 pages
File Size : 42,5 Mb
Release : 2015-11-02
Category : Mathematics
ISBN : 9781119243045

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Statistics for Spatio-Temporal Data by Noel Cressie,Christopher K. Wikle Pdf

Winner of the 2013 DeGroot Prize. A state-of-the-art presentation of spatio-temporal processes,bridging classic ideas with modern hierarchical statisticalmodeling concepts and the latest computational methods Noel Cressie and Christopher K. Wikle, are also winnersof the 2011 PROSE Award in the Mathematics category, for thebook “Statistics for Spatio-Temporal Data” (2011),published by John Wiley and Sons. (The PROSE awards, forProfessional and Scholarly Excellence, are given by the Associationof American Publishers, the national trade association of the USbook publishing industry.) Statistics for Spatio-Temporal Data has now beenreprinted with small corrections to the text andthe bibliography. The overall content and pagination of thenew printing remains the same; the difference comes inthe form of corrections to typographical errors, editing ofincomplete and missing references, and some updated spatio-temporalinterpretations. From understanding environmental processes and climate trends todeveloping new technologies for mapping public-health data and thespread of invasive-species, there is a high demand for statisticalanalyses of data that take spatial, temporal, and spatio-temporalinformation into account. Statistics for Spatio-TemporalData presents a systematic approach to key quantitativetechniques that incorporate the latest advances in statisticalcomputing as well as hierarchical, particularly Bayesian,statistical modeling, with an emphasis on dynamical spatio-temporalmodels. Cressie and Wikle supply a unique presentation thatincorporates ideas from the areas of time series and spatialstatistics as well as stochastic processes. Beginning with separatetreatments of temporal data and spatial data, the book combinesthese concepts to discuss spatio-temporal statistical methods forunderstanding complex processes. Topics of coverage include: Exploratory methods for spatio-temporal data, includingvisualization, spectral analysis, empirical orthogonal functionanalysis, and LISAs Spatio-temporal covariance functions, spatio-temporal kriging,and time series of spatial processes Development of hierarchical dynamical spatio-temporal models(DSTMs), with discussion of linear and nonlinear DSTMs andcomputational algorithms for their implementation Quantifying and exploring spatio-temporal variability inscientific applications, including case studies based on real-worldenvironmental data Throughout the book, interesting applications demonstrate therelevance of the presented concepts. Vivid, full-color graphicsemphasize the visual nature of the topic, and a related FTP sitecontains supplementary material. Statistics for Spatio-TemporalData is an excellent book for a graduate-level course onspatio-temporal statistics. It is also a valuable reference forresearchers and practitioners in the fields of applied mathematics,engineering, and the environmental and health sciences.

AECon 2020

Saefurrohman, Malim Muhammad,Heri Nurdiyanto
AECon 2020 Book PDF

Author : Saefurrohman, Malim Muhammad,Heri Nurdiyanto
Publisher : European Alliance for Innovation
Page : 710 pages
File Size : 43,8 Mb
Release : 2021-08-19
Category : Social Science
ISBN : 9781631903113

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AECon 2020 by Saefurrohman, Malim Muhammad,Heri Nurdiyanto Pdf

The 6th Asia Pasific Education and Science Conference (AECON ) 2020 was conducted on 19-20 December 2020, at Universitas Muhammadiyah Purwokerto, Purwokerto, Indonesia. The Theme of AECON 2020 is Empowering Human Development Through Science and Education. The goals of AECON 2020 is to establish a paradigm that emphasizes on the development of integrated education and science though the integration of different life skills in order to improve the quality of human development in education and science around Asia Pacific nations, particularly Indonesia.

Advances in Nuclear Architecture

Niall M. Adams,Paul S. Freemont
Advances in Nuclear Architecture Book PDF

Author : Niall M. Adams,Paul S. Freemont
Publisher : Springer Science & Business Media
Page : 210 pages
File Size : 42,9 Mb
Release : 2010-10-17
Category : Medical
ISBN : 9789048198993

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Advances in Nuclear Architecture by Niall M. Adams,Paul S. Freemont Pdf

This book provides a snapshot of the state-of-the art in the study of mammalian cell nuclear architecture, and features a diverse range of chapters written by top researchers. A key aspect is an emphasis on precise and repeatable quantitative analysis and simulation in addition to the more familiar biological perspective. The fusion of such material frames the future of the discipline. Quantitative contributions stress reproducible and robust 3D analysis, using a variety of tools ranging from point pattern analysis to shape registration methods. Biological insights include the role of nuclear subdomains in cancer, nuclear molecular motors, and a holistic view of gene transcription.

Applied Spatial Data Analysis with R

Roger S. Bivand,Edzer Pebesma,Virgilio Gómez-Rubio
Applied Spatial Data Analysis with R Book PDF

Author : Roger S. Bivand,Edzer Pebesma,Virgilio Gómez-Rubio
Publisher : Springer Science & Business Media
Page : 405 pages
File Size : 48,6 Mb
Release : 2013-06-21
Category : Medical
ISBN : 9781461476184

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Applied Spatial Data Analysis with R by Roger S. Bivand,Edzer Pebesma,Virgilio Gómez-Rubio Pdf

Applied Spatial Data Analysis with R, second edition, is divided into two basic parts, the first presenting R packages, functions, classes and methods for handling spatial data. This part is of interest to users who need to access and visualise spatial data. Data import and export for many file formats for spatial data are covered in detail, as is the interface between R and the open source GRASS GIS and the handling of spatio-temporal data. The second part showcases more specialised kinds of spatial data analysis, including spatial point pattern analysis, interpolation and geostatistics, areal data analysis and disease mapping. The coverage of methods of spatial data analysis ranges from standard techniques to new developments, and the examples used are largely taken from the spatial statistics literature. All the examples can be run using R contributed packages available from the CRAN website, with code and additional data sets from the book's own website. Compared to the first edition, the second edition covers the more systematic approach towards handling spatial data in R, as well as a number of important and widely used CRAN packages that have appeared since the first edition. This book will be of interest to researchers who intend to use R to handle, visualise, and analyse spatial data. It will also be of interest to spatial data analysts who do not use R, but who are interested in practical aspects of implementing software for spatial data analysis. It is a suitable companion book for introductory spatial statistics courses and for applied methods courses in a wide range of subjects using spatial data, including human and physical geography, geographical information science and geoinformatics, the environmental sciences, ecology, public health and disease control, economics, public administration and political science. The book has a website where complete code examples, data sets, and other support material may be found: http://www.asdar-book.org. The authors have taken part in writing and maintaining software for spatial data handling and analysis with R in concert since 2003.