Spatial Statistics And Geostatistics


Spatial Statistics And Geostatistics
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Spatial Statistics And Geostatistics


Spatial Statistics And Geostatistics
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Author : Yongwan Chun
language : en
Publisher: SAGE
Release Date : 2013-01-30

Spatial Statistics And Geostatistics written by Yongwan Chun and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-01-30 with Science categories.


Its focus is on spatial statistics as a distinct form of statistical analysis and it includes computer components for ArcGIS, R, SAS, and WinBUGS. The teaching and learning objective of the text is to illustrate the use of basic spatial statistics, geostatistics and the spatial filtering techniques used in all the relevant programs and software.



Spatial Statistics And Geostatistics


Spatial Statistics And Geostatistics
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Author : Yongwan Chun
language : en
Publisher: SAGE
Release Date : 2013-01-11

Spatial Statistics And Geostatistics written by Yongwan Chun and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-01-11 with Reference categories.


"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.



Spatial Statistics And Geostatistics


Spatial Statistics And Geostatistics
DOWNLOAD eBooks

Author : Yongwan Chun
language : en
Publisher: SAGE
Release Date : 2013-01-11

Spatial Statistics And Geostatistics written by Yongwan Chun and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-01-11 with Reference categories.


"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.



Spatial Statistics And Geostatistics


Spatial Statistics And Geostatistics
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Author : Christopher D. Lloyd
language : en
Publisher:
Release Date : 2020

Spatial Statistics And Geostatistics written by Christopher D. Lloyd and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020 with Geography categories.


This entry introduces some key principles around spatial data (i.e., mappable data) in the social sciences and geostatistical methods for their analysis. It takes as its main focus areal data. An example of such data is counts of people within census areas. The results of analysis of such data are dependent on the size and shape of the areas, and this entry considers the implications of the choice of areas for spatial analysis. It also introduces key concepts such as spatial dependence - the tendency for neighbouring data values (e.g., unemployment rates in census areas) to be similar. Methods for analysing spatial dependence are outlined next. The analysis of spatially varying relationships is then discussed, allowing for the possibility that relationships between variables (e.g., poor health and deprivation) may not be the same at all locations. Next, the entry details geostatistical methods for analysing the spatial structure of variables (e.g., the scales over which unemployment rates are concentrated). Finally, methods for overcoming scale effects by reallocating data from one set of areal units to another are detailed.



Statistics For Spatial Data


Statistics For Spatial Data
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Author : Noel Cressie
language : en
Publisher: John Wiley & Sons
Release Date : 2015-03-18

Statistics For Spatial Data written by Noel Cressie and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-03-18 with Mathematics categories.


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.



Practical Geostatistics


Practical Geostatistics
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Author : Simon Houlding
language : en
Publisher: Springer Science & Business Media
Release Date : 2000-06-08

Practical Geostatistics written by Simon Houlding and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000-06-08 with Mathematics categories.


Presents a set of linked HTML documents on the application of geostatistical theory, designed to be viewed and navigated with an Internet browser.



Practical Handbook Of Spatial Statistics


Practical Handbook Of Spatial Statistics
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Author : Sandra Arlinghaus
language : en
Publisher: CRC Press
Release Date : 2020-08-27

Practical Handbook Of Spatial Statistics written by Sandra Arlinghaus and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-08-27 with Mathematics categories.


The guidance and special techniques provided in this handbook will allow you to understand and use complex spatial statistical techniques. You will learn how to apply proper spatial analysis techniques and why they are generally different from conventional statistical analyses. Clear and concise information on weighting, aggregation effects, sampling, spatial statistics and GIS, and visualization of spatial dependence is provided. Discussions on specific applications using actual data sets fill obvious gaps in the literature, and coverage of critical research frontiers allows readers to explore current areas of active research.



Non Standard Spatial Statistics And Spatial Econometrics


Non Standard Spatial Statistics And Spatial Econometrics
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Author : Daniel A. Griffith
language : en
Publisher: Springer Science & Business Media
Release Date : 2011-01-11

Non Standard Spatial Statistics And Spatial Econometrics written by Daniel A. Griffith and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-01-11 with Science categories.


Despite spatial statistics and spatial econometrics both being recent sprouts of the general tree "spatial analysis with measurement"—some may remember the debate after WWII about "theory without measurement" versus "measurement without theory"—several general themes have emerged in the pertaining literature. But exploring selected other fields of possible interest is tantalizing, and this is what the authors intend to report here, hoping that they will suscitate interest in the methodologies exposed and possible further applications of these methodologies. The authors hope that reactions about their publication will ensue, and they would be grateful to reader(s) motivated by some of the research efforts exposed hereafter letting them know about these experiences.



Spatial Statistics And Imaging


Spatial Statistics And Imaging
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Author : Antonio Possolo
language : en
Publisher: IMS
Release Date : 1991

Spatial Statistics And Imaging written by Antonio Possolo and has been published by IMS this book supported file pdf, txt, epub, kindle and other format this book has been release on 1991 with Computers categories.




Spatial Statistics And Computational Methods


Spatial Statistics And Computational Methods
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Author : Jesper Møller
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-04-17

Spatial Statistics And Computational Methods written by Jesper Møller and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-04-17 with Mathematics categories.


This volume shows how sophisticated spatial statistical and computational methods apply to a range of problems of increasing importance for applications in science and technology. It introduces topics of current interest in spatial and computational statistics, which should be accessible to postgraduate students as well as to experienced statistical researchers.