Spatial statistics
Author: Marc Moore
Publisher:
Published: 2001
Total Pages: 282
ISBN-13: 9783540952404
DOWNLOAD EBOOK →Lanterna Rally
eBook PDF Download Digital Library
Spatial Statistics
Author: Marc Moore
Publisher:
Published: 2011-05-01
Total Pages: 304
ISBN-13: 9781461301486
DOWNLOAD EBOOK →Spatial Statistics: Methodological Aspects and Applications
Author: Marc Moore
Publisher: Springer Science & Business Media
Published: 2012-12-06
Total Pages: 296
ISBN-13: 1461301475
DOWNLOAD EBOOK →This volume contains presentations by eminent researchers: Statistical Inference for Spatial Processes; Image Analysis; Applications of Spatial Statistics in Earth, Environmental, and Health Sciences; and Statistics of Brain Mapping. They range from asymptotic considerations for spatial processes to practical considerations related to particular applications including important methodological aspects. Many contributions concern image analysis, mainly images related to brain mapping.
Spatial Relationships Between Two Georeferenced Variables
Author: Ronny Vallejos
Publisher: Springer Nature
Published: 2020-09-22
Total Pages: 194
ISBN-13: 3030566811
DOWNLOAD EBOOK →This book offers essential, systematic information on the assessment of the spatial association between two processes from a statistical standpoint. Divided into eight chapters, the book begins with preliminary concepts, mainly concerning spatial statistics. The following seven chapters focus on the methodologies needed to assess the correlation between two or more processes; from theory introduced 35 years ago, to techniques that have only recently been published. Furthermore, each chapter contains a section on R computations to explore how the methodology works with real data. References and a list of exercises are included at the end of each chapter. The assessment of the correlation between two spatial processes has been tackled from several different perspectives in a variety of applications fields. In particular, the problem of testing for the existence of spatial association between two georeferenced variables is relevant for posterior modeling and inference. One evident application in this context is the quantification of the spatial correlation between two images (processes defined on a rectangular grid in a two-dimensional space). From a statistical perspective, this problem can be handled via hypothesis testing, or by using extensions of the correlation coefficient. In an image-processing framework, these extensions can also be used to define similarity indices between images.
Handbook of Spatial Statistics
Author: Alan E. Gelfand
Publisher: CRC Press
Published: 2010-03-19
Total Pages: 622
ISBN-13: 1420072889
DOWNLOAD EBOOK →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
Author: Adrian Baddeley
Publisher: CRC Press
Published: 2015-11-11
Total Pages: 830
ISBN-13: 1482210215
DOWNLOAD EBOOK →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
Theory of Spatial Statistics
Author: M.N.M. van Lieshout
Publisher: CRC Press
Published: 2019-03-19
Total Pages: 162
ISBN-13: 0429627033
DOWNLOAD EBOOK →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.
Perspectives on Spatial Data Analysis
Author: Luc Anselin
Publisher: Springer Science & Business Media
Published: 2009-12-24
Total Pages: 291
ISBN-13: 3642019765
DOWNLOAD EBOOK →Spatial data analysis has seen explosive growth in recent years. Both in mainstream statistics and econometrics as well as in many applied ?elds, the attention to space, location, and interaction has become an important feature of scholarly work. The methodsdevelopedto dealwith problemsofspatialpatternrecognition,spatialau- correlation, and spatial heterogeneity have seen greatly increased adoption, in part due to the availability of user friendlydesktopsoftware. Throughhis theoretical and appliedwork,ArthurGetishasbeena majorcontributing?gureinthisdevelopment. In this volume, we take both a retrospective and a prospective view of the ?eld. We use the occasion of the retirement and move to emeritus status of Arthur Getis to highlight the contributions of his work. In addition, we aim to place it into perspective in light of the current state of the art and future directions in spatial data analysis. To this end, we elected to combine reprints of selected classic contributions by Getiswithchapterswrittenbykeyspatialscientists.Thesescholarswerespeci?cally invited to react to the earlier work by Getis with an eye toward assessing its impact, tracing out the evolution of related research, and to re?ect on the future broadening of spatial analysis. The organizationof the book follows four main themes in Getis’ contributions: • Spatial analysis • Pattern analysis • Local statistics • Applications For each of these themes, the chapters provide a historical perspective on early methodological developments and theoretical insights, assessments of these c- tributions in light of the current state of the art, as well as descriptions of new techniques and applications.
Spatial Statistics
Author: Brian D. Ripley
Publisher: John Wiley & Sons
Published: 2005-02-25
Total Pages: 272
ISBN-13: 047172520X
DOWNLOAD EBOOK →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.
Spatial Analysis Methods and Practice
Author: George Grekousis
Publisher: Cambridge University Press
Published: 2020-06-11
Total Pages: 535
ISBN-13: 1108498981
DOWNLOAD EBOOK →An introductory overview of spatial analysis and statistics through GIS, including worked examples and critical analysis of results.
