Author: Lena Sanders Publisher: John Wiley & Sons ISBN: 1118614089 Category : Science Languages : en Pages : 367
Book Description
This title provides a broad overview of the different types of models used in advanced spatial analysis. The models concern spatial organization, location factors and spatial interaction patterns from both static and dynamic perspectives. Each chapter gives a broad overview of the subject, covering both theoretical developments and practical applications. The advantages of an interdisciplinary approach are illustrated in the way that the viewpoint of each of the individual disciplines are brought together when considering questions relevant to spatial analysis. The authors of the chapters come from a range of different disciplines (geography, economy, hydrology, ecology, etc.) and are specialists in their field. They use a range of methods and modeling tools developed in mathematics, statistics, artificial intelligence and physics.
Author: Carlo Gaetan Publisher: Springer Science & Business Media ISBN: 0387922571 Category : Mathematics Languages : en Pages : 308
Book Description
Spatial statistics are useful in subjects as diverse as climatology, ecology, economics, environmental and earth sciences, epidemiology, image analysis and more. This book covers the best-known spatial models for three types of spatial data: geostatistical data (stationarity, intrinsic models, variograms, spatial regression and space-time models), areal data (Gibbs-Markov fields and spatial auto-regression) and point pattern data (Poisson, Cox, Gibbs and Markov point processes). The level is relatively advanced, and the presentation concise but complete. The most important statistical methods and their asymptotic properties are described, including estimation in geostatistics, autocorrelation and second-order statistics, maximum likelihood methods, approximate inference using the pseudo-likelihood or Monte-Carlo simulations, statistics for point processes and Bayesian hierarchical models. A chapter is devoted to Markov Chain Monte Carlo simulation (Gibbs sampler, Metropolis-Hastings algorithms and exact simulation). A large number of real examples are studied with R, and each chapter ends with a set of theoretical and applied exercises. While a foundation in probability and mathematical statistics is assumed, three appendices introduce some necessary background. The book is accessible to senior undergraduate students with a solid math background and Ph.D. students in statistics. Furthermore, experienced statisticians and researchers in the above-mentioned fields will find the book valuable as a mathematically sound reference. This book is the English translation of Modélisation et Statistique Spatiales published by Springer in the series Mathématiques & Applications, a series established by Société de Mathématiques Appliquées et Industrielles (SMAI).
Author: Noel Cressie Publisher: John Wiley & Sons ISBN: 1119115183 Category : Mathematics Languages : en Pages : 931
Book Description
The Wiley Classics Library consists of selected books that have been made more accessible to consumers in an effort to increase global appeal and general circulation. With these new unabridged softcover volumes, Wiley hopes to extend the lives of these works by making them available to future generations of statisticians, mathematicians, and scientists. Spatial statistics — analyzing spatial data through statistical models — has proven exceptionally versatile, encompassing problems ranging from the microscopic to the astronomic. However, for the scientist and engineer faced only with scattered and uneven treatments of the subject in the scientific literature, learning how to make practical use of spatial statistics in day-to-day analytical work is very difficult. Designed exclusively for scientists eager to tap into the enormous potential of this analytical tool and upgrade their range of technical skills, Statistics for Spatial Data is a comprehensive, single-source guide to both the theory and applied aspects of spatial statistical methods. The hard-cover edition was hailed by Mathematical Reviews as an "excellent book which will become a basic reference." This paper-back edition of the 1993 edition, is designed to meet the many technological challenges facing the scientist and engineer. Concentrating on the three areas of geostatistical data, lattice data, and point patterns, the book sheds light on the link between data and model, revealing how design, inference, and diagnostics are an outgrowth of that link. It then explores new methods to reveal just how spatial statistical models can be used to solve important problems in a host of areas in science and engineering. Discussion includes: Exploratory spatial data analysis Spectral theory for stationary processes Spatial scale Simulation methods for spatial processes Spatial bootstrapping Statistical image analysis and remote sensing Computational aspects of model fitting Application of models to disease mapping Designed to accommodate the practical needs of the professional, it features a unified and common notation for its subject as well as many detailed examples woven into the text, numerous illustrations (including graphs that illuminate the theory discussed) and over 1,000 references. Fully balancing theory with applications, Statistics for Spatial Data, Revised Edition is an exceptionally clear guide on making optimal use of one of the ascendant analytical tools of the decade, one that has begun to capture the imagination of professionals in biology, earth science, civil, electrical, and agricultural engineering, geography, epidemiology, and ecology.
Author: P. Legendre Publisher: Elsevier ISBN: 0444538690 Category : Science Languages : en Pages : 1007
Book Description
The book describes and discusses the numerical methods which are successfully being used for analysing ecological data, using a clear and comprehensive approach. These methods are derived from the fields of mathematical physics, parametric and nonparametric statistics, information theory, numerical taxonomy, archaeology, psychometry, sociometry, econometry and others. - An updated, 3rd English edition of the most widely cited book on quantitative analysis of multivariate ecological data - Relates ecological questions to methods of statistical analysis, with a clear description of complex numerical methods - All methods are illustrated by examples from the ecological literature so that ecologists clearly see how to use the methods and approaches in their own research - All calculations are available in R language functions
Author: David Taniar Publisher: Springer ISBN: 364212156X Category : Computers Languages : en Pages : 660
Book Description
These multiple volumes (LNCS volumes 6016, 6017, 6018 and 6019) consist of the peer-reviewed papers from the 2010 International Conference on Compu- tional Science and Its Applications (ICCSA2010)held in Fukuoka, Japanduring March23–26,2010.ICCSA2010wasasuccessfuleventintheInternationalC- ferences on Computational Science and Its Applications (ICCSA) conference - ries, previouslyheld in Suwon, South Korea (2009), Perugia, Italy (2008), Kuala Lumpur, Malaysia (2007), Glasgow, UK (2006), Singapore (2005), Assisi, Italy (2004), Montreal, Canada (2003), and (as ICCS) Amsterdam, The Netherlands (2002) and San Francisco, USA (2001). Computational science is a main pillar of most of the present research, - dustrial and commercial activities and plays a unique role in exploiting ICT - novative technologies. The ICCSA conference series has been providing a venue to researchers and industry practitioners to discuss new ideas, to share complex problems and their solutions, and to shape new trends in computational science. ICCSA 2010 was celebrated at the host university, Kyushu Sangyo Univ- sity, Fukuoka, Japan, as part of the university’s 50th anniversary.We would like to thank Kyushu Sangyo University for hosting ICCSA this year, and for - cluding this international event in their celebrations. Also for the ?rst time this year, ICCSA organized poster sessions that present on-going projects on various aspects of computational sciences.
Author: Marc Souris Publisher: John Wiley & Sons ISBN: 1119597439 Category : Science Languages : en Pages : 265
Book Description
Localization is involved everywhere in epidemiology: health phenomena often involve spatial relationships among individuals and risk factors related to geography and environment. Therefore, the use of localization in the analysis and comprehension of health phenomena is essential. This book describes the objectives, principles, methods and tools of spatial analysis and geographic information systems applied to the field of health, and more specifically to the study of the spatial distribution of disease and health–environment relationships. It is a practical introduction to spatial and spatio-temporal analysis for epidemiology and health geography, and takes an educational approach illustrated with real-world examples. Epidemiology and Geography presents a complete and straightforward overview of the use of spatial analysis in epidemiology for students, public health professionals, epidemiologists, health geographers and specialists in health–environment studies.
Author: Claire Cunty Publisher: John Wiley & Sons ISBN: 1789451612 Category : Science Languages : en Pages : 341
Book Description
With the increasing proliferation of data and the systematization of geographic information referencing, maps are now a major concern – not only for specialists, but also for urban planning and development organizations and the general public. However, while producing a map may seem straightforward, the actual process of transforming data into a useful map with a specific purpose is characterized by a series of precise operations that require knowledge in a variety of fields: statistics, geography, cartography and so on. Handling and Mapping Geographic Information presents a wide range of operations based on a variety of examples. Each chapter adopts a different approach, explaining the methodological choices made in relation to the theme and the pursued objective. This approach, encompassing the entire map production process, will enable all readers, whether students, researchers, teachers or planners, to understand the multiple roles that maps can play in the analysis of geographical data.
Book Description
L'analyse statistique des données spatiales et spatio-temporelles constitue un champ de recherches intense en statistique tant sur le plan théorique que sur le plan des applications. Cet ouvrage fait le point sur les développements les plus récents dans ce domaine. Les domaines d'applications de ces modèles vont de la géostatistique à l'épidémiologie en passant par l'environnement, l'écologie, l'économie... Cet ouvrage est le fruit de la collaboration entre des spécialistes parmi les plus réputés : Gérard d'Aubigny (université Pierre Mendès-France, Grenoble), Claude Grasland (université Paris VII), Xavier Guyon (université Paris I), Pierre Legendre (université de Montréal), Jean-Paul Chilès, Christian Lantuejoul et Jacques Rivoirard (Ecole des mines de Paris), réunis à l'occasion des 10es Journées d'étude en statistique, organisées par la SFdS au Centre international de rencontres mathématiques de Luminy.
Author: H. Di Benedetto Publisher: CRC Press ISBN: 9780415889209 Category : Technology & Engineering Languages : en Pages : 1460
Book Description
The main themes of this conference are experimental investigations into deformation properties - from very small strains to beyond failure, laboratory, in-situ and field observation interpretations, and behaviour characterization and modelling. Emphasis is placed on exploring recent investigations into time-related stresses, and on applying advanced geotechnical testing to real engineering problems.
Author: Lena Sanders
Author: Carlo Gaetan
Author: Noel Cressie
Author: Jean-Pierre Bocquet-Appel
Author: P. Legendre
Author: David Taniar
Author: Marc Souris
Author: Claire Cunty
Author: Jean-Jacques Droesbeke
Author: H. Di Benedetto