Asymptotic And Computational Methods In Spatial Statistics
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Asymptotic and Computational Methods in Spatial Statistics
Author | : Juan Du |
Publsiher | : Academic Conferences Limited |
Total Pages | : 241 |
Release | : 2009 |
Genre | : Asymptotic expansions |
ISBN | : 9781908272331 |
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Spatial Analysis
Author | : Tonny J. Oyana,Florence Margai |
Publsiher | : CRC Press |
Total Pages | : 316 |
Release | : 2015-07-28 |
Genre | : Mathematics |
ISBN | : 9781498707640 |
Download Spatial Analysis Book in PDF, Epub and Kindle
An introductory text for the next generation of geospatial analysts and data scientists, Spatial Analysis: Statistics, Visualization, and Computational Methods focuses on the fundamentals of spatial analysis using traditional, contemporary, and computational methods. Outlining both non-spatial and spatial statistical concepts, the authors present p
Handbook of Spatial Statistics
Author | : Alan E. Gelfand,Peter Diggle,Peter Guttorp,Montserrat Fuentes |
Publsiher | : CRC Press |
Total Pages | : 622 |
Release | : 2010-03-19 |
Genre | : Mathematics |
ISBN | : 9781420072884 |
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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 Statistics and Computational Methods
Author | : Jesper Moller |
Publsiher | : Unknown |
Total Pages | : 224 |
Release | : 2014-01-15 |
Genre | : Electronic Book |
ISBN | : 1475765533 |
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Spatial Analysis with R
Author | : Tonny J. Oyana |
Publsiher | : CRC Press |
Total Pages | : 281 |
Release | : 2020-08-31 |
Genre | : Mathematics |
ISBN | : 9781000173475 |
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In the five years since the publication of the first edition of Spatial Analysis: Statistics, Visualization, and Computational Methods, many new developments have taken shape regarding the implementation of new tools and methods for spatial analysis with R. The use and growth of artificial intelligence, machine learning and deep learning algorithms with a spatial perspective, and the interdisciplinary use of spatial analysis are all covered in this second edition along with traditional statistical methods and algorithms to provide a concept-based problem-solving learning approach to mastering practical spatial analysis. Spatial Analysis with R: Statistics, Visualization, and Computational Methods, Second Edition provides a balance between concepts and practicums of spatial statistics with a comprehensive coverage of the most important approaches to understand spatial data, analyze spatial relationships and patterns, and predict spatial processes. New in the Second Edition: Includes new practical exercises and worked-out examples using R Presents a wide range of hands-on spatial analysis worktables and lab exercises All chapters are revised and include new illustrations of different concepts using data from environmental and social sciences Expanded material on spatiotemporal methods, visual analytics methods, data science, and computational methods Explains big data, data management, and data mining This second edition of an established textbook, with new datasets, insights, excellent illustrations, and numerous examples with R, is perfect for senior undergraduate and first-year graduate students in geography and the geosciences.
Spatial Statistics
Author | : Brian D. Ripley |
Publsiher | : John Wiley & Sons |
Total Pages | : 272 |
Release | : 2005-02-25 |
Genre | : Mathematics |
ISBN | : 9780471725206 |
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The Wiley-Interscience Paperback Series consists of selected booksthat have been made more accessible to consumers in an effort toincrease global appeal and general circulation. With these newunabridged softcover volumes, Wiley hopes to extend the lives ofthese works by making them available to future generations ofstatisticians, mathematicians, and scientists. "Books such as this that bring together, clarify, and summarizerecent research can lead to a great increase of interest in thearea. . . . a major achievement in describing many aspects ofspatial data and discussing, with examples, different methods ofanalysis." –Royal Statistical Society "Dr. Ripley’s book is an excellent survey of the spatialstatistical methodology. It is very well illustrated with examples[that] give a clear view of the wide scope of the subject, the wayin which techniques often have to be tailored to particularapplications, and the different sorts of spatial data thatarise." –The Bulletin of the London Mathematics Society Spatial Statistics provides a comprehensive guide to theanalysis of spatial data. Each chapter covers a particular dataformat and the associated class of problems, introducing theory,giving computational suggestions, and providing examples. Methodsare illustrated by computer-drawn figures. The book serves as anintroduction to this rapidly growing research area formathematicians and statisticians, and as a reference to newcomputer methods for researchers in ecology, geology, archaeology,and the earth sciences.
Stochastic Analysis for Gaussian Random Processes and Fields
Author | : Vidyadhar S. Mandrekar,Leszek Gawarecki |
Publsiher | : CRC Press |
Total Pages | : 201 |
Release | : 2015-06-23 |
Genre | : Mathematics |
ISBN | : 9781498707824 |
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Stochastic Analysis for Gaussian Random Processes and Fields: With Applications presents Hilbert space methods to study deep analytic properties connecting probabilistic notions. In particular, it studies Gaussian random fields using reproducing kernel Hilbert spaces (RKHSs).The book begins with preliminary results on covariance and associated RKHS
Stochastic Geometry Spatial Statistics and Random Fields
Author | : Evgeny Spodarev |
Publsiher | : Springer |
Total Pages | : 470 |
Release | : 2013-02-11 |
Genre | : Mathematics |
ISBN | : 9783642333057 |
Download Stochastic Geometry Spatial Statistics and Random Fields Book in PDF, Epub and Kindle
This volume provides a modern introduction to stochastic geometry, random fields and spatial statistics at a (post)graduate level. It is focused on asymptotic methods in geometric probability including weak and strong limit theorems for random spatial structures (point processes, sets, graphs, fields) with applications to statistics. Written as a contributed volume of lecture notes, it will be useful not only for students but also for lecturers and researchers interested in geometric probability and related subjects.