Advanced Spatial Statistics

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Advanced Spatial Statistics

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Author : Daniel A. Griffith
language : en
Publisher:
Release Date : 1988

Advanced Spatial Statistics written by Daniel A. Griffith and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1988 with Analyse spatiale (Statistique) categories.

In recent years there has been a growing interest in and concern for the development of a sound spatial statistical body of theory. This work has been undertaken by geographers, statisticians, regional scientists, econometricians, and others (e. g., sociologists). It has led to the publication of a number of books, including Cliff and Ord's Spatial Processes (1981), Bartlett's The Statistical Analysis of Spatial Pattern (1975), Ripley's Spatial Statistics (1981), Paelinck and Klaassen's Spatial Economet ics (1979), Ahuja and Schachter's Pattern Models (1983), and Upton and Fingleton's Spatial Data Analysis by Example (1985). The first of these books presents a useful introduction to the topic of spatial autocorrelation, focusing on autocorrelation indices and their sampling distributions. The second of these books is quite brief, but nevertheless furnishes an eloquent introduction to the rela- tionship between spatial autoregressive and two-dimensional spectral models. Ripley's book virtually ignores autoregressive and trend surface modelling, and focuses almost solely on point pattern analysis.Paelinck and Klaassen's book closely follows an econometric textbook format, and as a result overlooks much of the important material necessary for successful spatial data analy- sis. It almost exclusively addresses distance and gravity models, with some treatment of autoregressive modelling. Pattern Models supplements Cliff and Ord's book, which in combination provide a good introduction to spatial data analysis. Its basic limitation is a preoccupation with the geometry of planar patterns, and hence is very narrow in scope.

Advanced Spatial Analysis

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Author : Paul Longley
language : en
Publisher: ESRI, Inc.
Release Date : 2003

Advanced Spatial Analysis written by Paul Longley and has been published by ESRI, Inc. this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003 with Mathematics categories.

Advanced work on GIS applications in such fields as urban planning, transportation, and economic development

Advanced Spatial Statistics

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Author : Daniel A. Griffith
language : es
Publisher:
Release Date : 1988

Advanced Spatial Statistics written by Daniel A. Griffith and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1988 with categories.

Advanced Introduction To Spatial Statistics

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Author : Griffith, Daniel A.
language : en
Publisher: Edward Elgar Publishing
Release Date : 2022-08-12

Advanced Introduction To Spatial Statistics written by Griffith, Daniel A. and has been published by Edward Elgar Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-08-12 with Social Science categories.

This Advanced Introduction provides a critical review and discussion of research concerning spatial statistics, differentiating between it and spatial econometrics, to answer a set of core questions covering the geographic-tagging-of-data origins of the concept and its theoretical underpinnings, conceptual advances, and challenges for future scholarly work. It offers a vital tool for understanding spatial statistics and surveys how concerns about violating the independent observations assumption of statistical analysis developed into this discipline.

Handbook Of Applied Spatial Analysis

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Author : Manfred M. Fischer
language : en
Publisher: Springer Science & Business Media
Release Date : 2009-12-24

Handbook Of Applied Spatial Analysis written by Manfred M. Fischer 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 2009-12-24 with Business & Economics categories.

The Handbook is written for academics, researchers, practitioners and advanced graduate students. It has been designed to be read by those new or starting out in the field of spatial analysis as well as by those who are already familiar with the field. The chapters have been written in such a way that readers who are new to the field will gain important overview and insight. At the same time, those readers who are already practitioners in the field will gain through the advanced and/or updated tools and new materials and state-of-the-art developments included. This volume provides an accounting of the diversity of current and emergent approaches, not available elsewhere despite the many excellent journals and te- books that exist. Most of the chapters are original, some few are reprints from the Journal of Geographical Systems, Geographical Analysis, The Review of Regional Studies and Letters of Spatial and Resource Sciences. We let our contributors - velop, from their particular perspective and insights, their own strategies for m- ping the part of terrain for which they were responsible. As the chapters were submitted, we became the first consumers of the project we had initiated. We gained from depth, breadth and distinctiveness of our contributors’ insights and, in particular, the presence of links between them.

Spatial Analysis For The Social Sciences

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Author : David Darmofal
language : en
Publisher: Cambridge University Press
Release Date : 2015-11-12

Spatial Analysis For The Social Sciences written by David Darmofal and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-11-12 with Mathematics categories.

This book shows how to model the spatial interactions between actors that are at the heart of the social sciences.

Spatial Data Analysis

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Author : Christopher Lloyd
language : en
Publisher: Oxford University Press, USA
Release Date : 2010

Spatial Data Analysis written by Christopher Lloyd and has been published by Oxford University Press, USA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010 with Language Arts & Disciplines categories.

Spatial Data Analysis introduces key principles about spatial data and provides guidance on methods for their exploration; it provides a set of key ideas or frameworks that will give the reader knowledge of the kinds of problems that can be tackled using the tools that are widely available for the analysis of spatial data.

Distributed And Parallel Architectures For Spatial Data

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Author : Alberto Belussi
language : en
Publisher: MDPI
Release Date : 2021-01-20

Distributed And Parallel Architectures For Spatial Data written by Alberto Belussi and has been published by MDPI this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-01-20 with Technology & Engineering categories.

This book aims at promoting new and innovative studies, proposing new architectures or innovative evolutions of existing ones, and illustrating experiments on current technologies in order to improve the efficiency and effectiveness of distributed and cluster systems when they deal with spatiotemporal data.

Spatial Statistics For Data Science

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Author : Paula Moraga
language : en
Publisher: CRC Press
Release Date : 2023-12-08

Spatial Statistics For Data Science written by Paula Moraga and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-12-08 with Mathematics categories.

Spatial data is crucial to improve decision-making in a wide range of fields including environment, health, ecology, urban planning, economy, and society. Spatial Statistics for Data Science: Theory and Practice with R describes statistical methods, modeling approaches, and visualization techniques to analyze spatial data using R. The book provides a comprehensive overview of the varying types of spatial data, and detailed explanations of the theoretical concepts of spatial statistics, alongside fully reproducible examples which demonstrate how to simulate, describe, and analyze spatial data in various applications. Combining theory and practice, the book includes real-world data science examples such as disease risk mapping, air pollution prediction, species distribution modeling, crime mapping, and real state analyses. The book utilizes publicly available data and offers clear explanations of the R code for importing, manipulating, analyzing, and visualizing data, as well as the interpretation of the results. This ensures contents are easily accessible and fully reproducible for students, researchers, and practitioners. Key Features: Describes R packages for retrieval, manipulation, and visualization of spatial data Offers a comprehensive overview of spatial statistical methods including spatial autocorrelation, clustering, spatial interpolation, model-based geostatistics, and spatial point processes Provides detailed explanations on how to fit and interpret Bayesian spatial models using the integrated nested Laplace approximation (INLA) and stochastic partial differential equation (SPDE) approaches

Advanced Spatial Modeling With Stochastic Partial Differential Equations Using R And Inla

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Author : Elias Krainski
language : en
Publisher: CRC Press
Release Date : 2018-12-07

Advanced Spatial Modeling With Stochastic Partial Differential Equations Using R And Inla written by Elias Krainski and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-12-07 with Mathematics categories.

Describes modeling with SPDE and INLA Describes spatial and spatio-temporal models Describes multivariate models Includes detailed examples and associated R code Includes a summary on the underlying SPDE methodology R code and dataset are available from http://www.r-inla.org/spde-book