Book Description
NOUS PRESENTONS LES APPLICATIONS DE QUELQUES METHODES DE GEOSTATISTIQUE ET DE STATISTIQUE SPATIALE A DEUX TYPES DE DONNEES : IMAGES DE TELEDETECTION OU DE MATERIAUX. LA THESE COMPREND TROIS PARTIES. - UN PREMIER CHAPITRE QUI PRESENTE LES OUTILS DE LA THEORIE DES VARIABLES REGIONALISEES DANS LES CAS MONO ET MULTIVARIABLES. - UN DEUXIEME CHAPITRE CONSACRE A QUATRE METHODES D'ESTIMATIONS PONCTUELLES : LA REGRESSION "PAR BOULES", L'ANALYSE PAR DICHOTOMIE DES FACTEURS SPATIAUX FAIBLEMENT ET FORTEMENT AUTOCORRELES, LE KRIGEAGE ET LES SPLINES "PLAQUE MINCE" ET L'ANALYSE EN COMPOSANTES PRINCIPALES REGIONALISEES DANS LE BUT D'AMELIORER LA QUALITE DES IMAGES DEGRADEES ET DE LES ADAPTER A UNE THEMATIQUE APPROPRIEE. - ENFIN, DANS LE DERNIER CHAPITRE NOUS UTILISONS UNE IMAGE SATELLITAIRE CLASSIFIEE SELON UNE NOMENCLATURE D'OCCUPATION DU SOL (EAU, FORET, ESPACE AGRICOLE, ETC...). NOUS NOUS INTERESSONS PLUS PARTICULIEREMENT A L'ESPACE AGRICOLE POUR OPTIMISER LE PLAN DE SONDAGE PAR ENQUETES SEGMENTS.
Author: Yongwan Chun Publisher: SAGE ISBN: 1446291626 Category : Reference Languages : en Pages : 202
Book Description
"Ideal for anyone who wishes to gain a practical understanding of spatial statistics and geostatistics. Difficult concepts are well explained and supported by excellent examples in R code, allowing readers to see how each of the methods is implemented in practice" - Professor Tao Cheng, University College London Focusing specifically on spatial statistics and including components for ArcGIS, R, SAS and WinBUGS, this book illustrates the use of basic spatial statistics and geostatistics, as well as the spatial filtering techniques used in all relevant programs and software. It explains and demonstrates techniques in: spatial sampling spatial autocorrelation local statistics spatial interpolation in two-dimensions advanced topics including Bayesian methods, Monte Carlo simulation, error and uncertainty. It is a systematic overview of the fundamental spatial statistical methods used by applied researchers in geography, environmental science, health and epidemiology, population and demography, and planning. A companion website includes digital R code for implementing the analyses in specific chapters and relevant data sets to run the R codes.
Author: Simon Houlding Publisher: Springer Science & Business Media ISBN: 9783540668206 Category : Mathematics Languages : en Pages : 180
Book Description
Presents a set of linked HTML documents on the application of geostatistical theory, designed to be viewed and navigated with an Internet browser.
Author: P. K. Kitanidis Publisher: Cambridge University Press ISBN: 9780521587471 Category : Science Languages : en Pages : 276
Book Description
Engineers and applied geophysicists routinely encounter interpolation and estimation problems when analysing data from field observations. Introduction to Geostatistics presents practical techniques for the estimation of spatial functions from sparse data. The author's unique approach is a synthesis of classic and geostatistical methods with a focus on the most practical linear minimum-variance estimation methods, and includes suggestions on how to test and extend the applicability of such methods. The author includes many useful methods (often not covered in other geostatistics books) such as estimating variogram parameters, evaluating the need for a variable mean, parameter estimation and model testing in complex cases (e.g. anisotropy, variable mean, and multiple variables), and using information from deterministic mathematical models. Well illustrated with exercises and worked examples taken from hydrogeology, Introduction to Geostatistics assumes no background in statistics and is suitable for graduate-level courses in earth sciences, hydrology, and environmental engineering, and also for self-study.
Author: Jean-Paul Chilès Publisher: Wiley-Interscience ISBN: Category : Mathematics Languages : en Pages : 728
Book Description
A novel, practical approach to modeling spatial uncertainty. This book deals with statistical models used to describe natural variables distributed in space or in time and space. It takes a practical, unified approach to geostatistics-integrating statistical data with physical equations and geological concepts while stressing the importance of an objective description based on empirical evidence. This unique approach facilitates realistic modeling that accounts for the complexity of natural phenomena and helps solve economic and development problems-in mining, oil exploration, environmental engineering, and other real-world situations involving spatial uncertainty. Up-to-date, comprehensive, and well-written, Geostatistics: Modeling Spatial Uncertainty explains both theory and applications, covers many useful topics, and offers a wealth of new insights for nonstatisticians and seasoned professionals alike. This volume: * Reviews the most up-to-date geostatistical methods and the types of problems they address. * Emphasizes the statistical methodologies employed in spatial estimation. * Presents simulation techniques and digital models of uncertainty. * Features more than 150 figures and many concrete examples throughout the text. * Includes extensive footnoting as well as a thorough bibliography. Geostatistics: Modeling Spatial Uncertainty is the only geostatistical book to address a broad audience in both industry and academia. An invaluable resource for geostatisticians, physicists, mining engineers, and earth science professionals such as petroleum geologists, geophysicists, and hydrogeologists, it is also an excellent supplementary text for graduate-level courses in related subjects.
Author: Hans Wackernagel Publisher: Springer Science & Business Media ISBN: 3662030985 Category : Science Languages : en Pages : 263
Book Description
Introducing geostatistics from a multivariate perspective is the main aim of this book. The idea took root while teaching geostatistics at the Centre de Geostatis tique (Ecole des Mines de Paris) over the past ten years in the two postgraduate programs DEA and CFSG. A first script of lecture notes in French originated from this activity. A specialized course on Multivariate and Exploratory Geostatistics held in September 1993 in Paris (organized in collaboration with the Department of Statistics of Trinity College Dublin) was the occasion to test some of the mate rial on a pluridisciplinary audience. Another important opportunity arose last year when giving a lecture on Spatial Statistics during the summer term at the Department of Statistics of the University of Washington at Seattle, where part of this manuscript was distributed in an early version. Short accounts were also given during COMETT and TEMPUS courses on geostatistics for environment al studies in Fontainebleau, Freiberg, Rome and Prague, which were sponsored by the European Community. I wish to thank the participants of these various courses for their stimulating questions and comments. Among the organizers of these courses, I particularly want to acknowledge the support received from Georges Matheron, Pierre Chau vet, Margaret Armstrong, John Haslett and Paul Sampson. Michel Grzebyk has made valuable comments on Chapters 26 and 27, which partly summarize some of his contributions to the field.
Author: Margaret Armstrong Publisher: Springer Science & Business Media ISBN: 3642587275 Category : Science Languages : en Pages : 172
Book Description
Based on a postgraduate course that has been successfully taught for over 15 years, the underlying philosophy here is to give students an in-depth understanding of the relevant theory and how to put it into practice. This involves going into the theory in more detail than most books do, and also discussing its applications. It is assumed that readers, students and professionals alike are familiar with basic probability and statistics, as well as the matrix algebra needed for solving linear systems; however, some reminders on these are given in an appendix. Exercises are integrated throughout, and the appendix contains a review of the material.
Author: M. Armstrong Publisher: Springer Science & Business Media ISBN: 9401568448 Category : Science Languages : en Pages : 1059
Book Description
ACKNOWLEDGEMENTS xvii LIST OF PARTICIPANTS xix PLENARY SESSIQNS KRIGE D.G., GUARASCIO M. and CAMISANI-CALZOLARI F.A. Early South African qeostatistical techniques in today's perspective ... 1 MATHERON G. The internal consistency of models in qeostatistics ... 21 MONESTIEZ P., HABIB R. and AUDERGON J.M. Estimation de la covariance et du varioqramme pour une fonction aleatoire a support arborescent : application a l'etude des arbres fruitiers ... 39 CHILES J.P. Modelisation qeostatistique de reseaux de fractures ... 57 BRUNO R. and RASPA G. Geostatistical characterization of fractal models of surfaces 17 RIVOIRARD J. Models with orthoqonal indicator residuals ... 91 OMRE H., HALVORSEN K.B. and BERTEIG V.A Bayesian approach to kriqinq ... 109 THEQRY I SWITZER P. Non-stationary spatial covariances estimated from monitorinq data ... 127 CHAUVET P. Quelques aspects de l'analyse structurale des FAI-k a 1 dimension ... 139 vi TABLE OF CONTENTS DOWD P.A. Generalised cross-covariances ... 151 CRESSIE N. The many faces of spatial prediction ..-- ... - ... --.-.-..-. 163 OBLED C. & BRAUD I. Analogies entre geostatistique et analyse en composantes principales de processus ou analyse EOFs ... 177 THEORY II JEULIN D. Sequential random functions models ... 189 CHAUTRU J.M. The use of Boolean random functions in geostatistics -.--.-- ... 201 SOARES A.O. Use of a mathematical morphology tool in characterizing covariance & of indicator data ... 213 ALLISON H.J. Regularization in geostatistics and in ill-posed inversed problems ... - . . - . - . . - ... - - ... 225 DONG A.
Book Description
Les systèmes d'information géographique (SIG) caractérisent à la fois un modèle numérisé de l'espace géographique, mais aussi l'ensemble des outils de traitement de l'information associés. Combinant informations géographiques et statistiques, ils permettent un suivi cartographié et quantifié des dynamiques territoriales. La plupart des collectivités publiques ont aujourd'hui achevé l'acquisition et la structuration de ce type de données. Les bases résultantes sont mises à disposition du public et des praticiens, mais la richesse et la diversité des informations qu'elles proposent rendent leur exploitation complexe, dans la mesure où elles requièrent des connaissances développées en analyse spatiale. Cet ouvrage se propose de procurer au lecteur l'ensemble des outils nécessaires à la maîtrise et à l'exploitation de ces méthodes, notamment dans le cadre de la géostatistique appliquée aux phénomènes discrets et continus, de l'analyse du relief, de la formulation de requêtes spatiales, des aptitudes des réseaux (accessibilité et zones d'influence) et des objets zonaux (analyse multivariée associée à l'aide à la décision), de la dynamique spatiale ou de la propagation des incertitudes. Manuel sans équivalent, couvrant l'ensemble du domaine de l'exploitation des informations spatiales et de leur analyse dans une perspective d'aide à la décision. Très pédagogique : trois niveaux de lecture (bases, compréhension scientifique des phénomènes, méthodes opérationnelles), nombreuses questions de révision et suggestions de lecture en fin de chaque chapitre. Clair et didactique, cet ouvrage s'adresse à un large public d'étudiants en géosciences et en sciences de l'environnement, mais aussi de géographes et d'ingénieurs praticiens à la recherche d'un ouvrage de référence. [4e de couverture]
Author: Sylvain N'Kanza
Author: Yongwan Chun
Author: Simon Houlding
Author: P. K. Kitanidis
Author: Jean-Paul Chilès
Author: Hans Wackernagel
Author: Margaret Armstrong
Author: M. Armstrong
Author: Régis Caloz
Author: A. G. Journel