Spatial Regression Analysis Using Eigenvector Spatial Filtering
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Spatial Regression Analysis Using Eigenvector Spatial Filtering
- Author : Daniel Griffith,Yongwan Chun,Bin Li
- Publisher : Academic Press
- Release Date : 2019-09-14
- Total pages : 286
- ISBN : 9780128156926
- File Size : 46,6 Mb
- Total Download : 210
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Spatial Regression Analysis Using Eigenvector Spatial Filtering provides theoretical foundations and guides practical implementation of the Moran eigenvector spatial filtering (MESF) technique. MESF is a novel and powerful spatial statistical methodology that allows spatial scientists to account for spatial autocorrelation in their georeferenced data analyses. Its appeal is in its simplicity, yet its implementation drawbacks include serious complexities associated with constructing an eigenvector spatial filter. This book discusses MESF specifications for various intermediate-level topics, including spatially varying coefficients models, (non) linear mixed models, local spatial autocorrelation, space-time models, and spatial interaction models. Spatial Regression Analysis Using Eigenvector Spatial Filtering is accompanied by sample R codes and a Windows application with illustrative datasets so that readers can replicate the examples in the book and apply the methodology to their own application projects. It also includes a Foreword by Pierre Legendre. Reviews the uses of ESF across linear regression, generalized linear regression, spatial autocorrelation measurement, and spatially varying coefficient models Includes computer code and template datasets for further modeling Provides comprehensive coverage of related concepts in spatial data analysis and spatial statistics
Spatial Autocorrelation and Spatial Filtering
- Author : Daniel A. Griffith
- Publisher : Springer Science & Business Media
- Release Date : 2013-03-19
- Total pages : 250
- ISBN : 9783540248064
- File Size : 55,9 Mb
- Total Download : 375
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Scientific visualization may be defined as the transformation of numerical scientific data into informative graphical displays. The text introduces a nonverbal model to subdisciplines that until now has mostly employed mathematical or verbal-conceptual models. The focus is on how scientific visualization can help revolutionize the manner in which the tendencies for (dis)similar numerical values to cluster together in location on a map are explored and analyzed. In doing so, the concept known as spatial autocorrelation - which characterizes these tendencies - is further demystified.
Spatial Statistics and Geostatistics
- Author : Yongwan Chun,Daniel A Griffith
- Publisher : SAGE
- Release Date : 2013-01-11
- Total pages : 200
- ISBN : 9781446291627
- File Size : 48,5 Mb
- Total Download : 433
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"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.
Advanced Introduction to Spatial Statistics
- Author : Griffith, Daniel A.,Li, Bin
- Publisher : Edward Elgar Publishing
- Release Date : 2022-08-12
- Total pages : 125
- ISBN : 9781800372825
- File Size : 32,7 Mb
- Total Download : 495
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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.
Geographically Weighted Regression
- Author : A. Stewart Fotheringham,Chris Brunsdon,Martin Charlton
- Publisher : John Wiley & Sons
- Release Date : 2003-02-21
- Total pages : 282
- ISBN : 9780470855256
- File Size : 30,6 Mb
- Total Download : 958
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Geographical Weighted Regression (GWR) is a new local modelling technique for analysing spatial analysis. This technique allows local as opposed to global models of relationships to be measured and mapped. This is the first and only book on this technique, offering comprehensive coverage on this new 'hot' topic in spatial analysis. * Provides step-by-step examples of how to use the GWR model using data sets and examples on issues such as house price determinants, educational attainment levels and school performance statistics * Contains a broad discussion of and basic concepts on GWR through to ideas on statistical inference for GWR models * uniquely features accompanying author-written software that allows users to undertake sophisticated and complex forms of GWR within a user-friendly, Windows-based, front-end (see book for details).
Encyclopedia of GIS
- Author : Shashi Shekhar,Hui Xiong
- Publisher : Springer Science & Business Media
- Release Date : 2007-12-12
- Total pages : 1392
- ISBN : 9780387308586
- File Size : 10,9 Mb
- Total Download : 772
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The Encyclopedia of GIS provides a comprehensive and authoritative guide, contributed by experts and peer-reviewed for accuracy, and alphabetically arranged for convenient access. The entries explain key software and processes used by geographers and computational scientists. Major overviews are provided for nearly 200 topics: Geoinformatics, Spatial Cognition, and Location-Based Services and more. Shorter entries define specific terms and concepts. The reference will be published as a print volume with abundant black and white art, and simultaneously as an XML online reference with hyperlinked citations, cross-references, four-color art, links to web-based maps, and other interactive features.
Spatial Analysis Using Big Data
- Author : Yoshiki Yamagata,Hajime Seya
- Publisher : Academic Press
- Release Date : 2019-11-03
- Total pages : 302
- ISBN : 9780128131329
- File Size : 23,5 Mb
- Total Download : 636
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Spatial Analysis Using Big Data: Methods and Urban Applications helps readers understand the most powerful, state-of-the-art spatial econometric methods, focusing particularly on urban research problems. The methods represent a cluster of potentially transformational socio-economic modeling tools that allow researchers to capture real-time and high-resolution information to potentially reveal new socioeconomic dynamics within urban populations. Each method, written by leading exponents of the discipline, uses real-time urban big data to solve research problems in spatial science. Urban applications of these methods are provided in unsurpassed depth, with chapters on surface temperature mapping, view value analysis, community clustering and spatial-social networks, among many others. Reviews some of the most powerful and challenging modern methods to study big data problems in spatial science Provides computer codes written in R, MATLAB and Python to help implement methods Applies these methods to common problems observed in urban and regional economics
Spatial Data Analysis
- Author : Manfred M. Fischer,Jinfeng Wang
- Publisher : Springer Science & Business Media
- Release Date : 2011-08-05
- Total pages : 80
- ISBN : 3642217206
- File Size : 42,7 Mb
- Total Download : 716
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The availability of spatial databases and widespread use of geographic information systems has stimulated increasing interest in the analysis and modelling of spatial data. Spatial data analysis focuses on detecting patterns, and on exploring and modelling relationships between them in order to understand the processes responsible for their emergence. In this way, the role of space is emphasised , and our understanding of the working and representation of space, spatial patterns, and processes is enhanced. In applied research, the recognition of the spatial dimension often yields different and more meaningful results and helps to avoid erroneous conclusions. This book aims to provide an introduction into spatial data analysis to graduates interested in applied statistical research. The text has been structured from a data-driven rather than a theory-based perspective, and focuses on those models, methods and techniques which are both accessible and of practical use for graduate students. Exploratory techniques as well as more formal model-based approaches are presented, and both area data and origin-destination flow data are considered.
Handbook of Applied Spatial Analysis
- Author : Manfred M. Fischer,Arthur Getis
- Publisher : Springer Science & Business Media
- Release Date : 2009-12-24
- Total pages : 811
- ISBN : 9783642036477
- File Size : 28,5 Mb
- Total Download : 618
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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 Statistics and Geostatistics
- Author : Yongwan Chun,Daniel A Griffith
- Publisher : SAGE
- Release Date : 2013-01-11
- Total pages : 200
- ISBN : 9781446272114
- File Size : 16,9 Mb
- Total Download : 354
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"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 Analysis
- Author : Mark R. T. Dale,Marie-Josée Fortin
- Publisher : Cambridge University Press
- Release Date : 2014-09-11
- Total pages : 453
- ISBN : 9780521143509
- File Size : 26,5 Mb
- Total Download : 290
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An essential guide for graduates, researchers and professionals to spatial analysis and the fast-growing range of methods available.
Spatial Analysis Methods and Practice
- Author : George Grekousis
- Publisher : Cambridge University Press
- Release Date : 2020-06-11
- Total pages : 535
- ISBN : 9781108498982
- File Size : 37,5 Mb
- Total Download : 637
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An introductory overview of spatial analysis and statistics through GIS, including worked examples and critical analysis of results.
Morphisms for Quantitative Spatial Analysis
- Author : Daniel A. Griffith,Jean H. P. Paelinck
- Publisher : Springer
- Release Date : 2018-03-07
- Total pages : 258
- ISBN : 9783319725536
- File Size : 48,9 Mb
- Total Download : 612
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This book treats the notion of morphisms in spatial analysis, paralleling these concepts in spatial statistics (Part I) and spatial econometrics (Part II). The principal concept is morphism (e.g., isomorphisms, homomorphisms, and allomorphisms), which is defined as a structure preserving the functional linkage between mathematical properties or operations in spatial statistics and spatial econometrics, among other disciplines. The purpose of this book is to present selected conceptions in both domains that are structurally the same, even though their labelling and the notation for their elements may differ. As the approaches presented here are applied to empirical materials in geography and economics, the book will also be of interest to scholars of regional science, quantitative geography and the geospatial sciences. It is a follow-up to the book “Non-standard Spatial Statistics and Spatial Econometrics” by the same authors, which was published by Springer in 2011.
Spatial Econometrics
- Author : Giuseppe Arbia,Badi H. Baltagi
- Publisher : Springer Science & Business Media
- Release Date : 2008-11-14
- Total pages : 281
- ISBN : 9783790820706
- File Size : 27,6 Mb
- Total Download : 278
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Spatial Econometrics is a rapidly evolving field born from the joint efforts of economists, statisticians, econometricians and regional scientists. The book provides the reader with a broad view of the topic by including both methodological and application papers. Indeed the application papers relate to a number of diverse scientific fields ranging from hedonic models of house pricing to demography, from health care to regional economics, from the analysis of R&D spillovers to the study of retail market spatial characteristics. Particular emphasis is given to regional economic applications of spatial econometrics methods with a number of contributions specifically focused on the spatial concentration of economic activities and agglomeration, regional paths of economic growth, regional convergence of income and productivity and the evolution of regional employment. Most of the papers appearing in this book were solicited from the International Workshop on Spatial Econometrics and Statistics held in Rome (Italy) in 2006.
Introduction to Spatial Econometrics
- Author : James LeSage,Robert Kelley Pace
- Publisher : CRC Press
- Release Date : 2009-01-20
- Total pages : 340
- ISBN : 1420064258
- File Size : 52,8 Mb
- Total Download : 321
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Although interest in spatial regression models has surged in recent years, a comprehensive, up-to-date text on these approaches does not exist. Filling this void, Introduction to Spatial Econometrics presents a variety of regression methods used to analyze spatial data samples that violate the traditional assumption of independence between observations. It explores a wide range of alternative topics, including maximum likelihood and Bayesian estimation, various types of spatial regression specifications, and applied modeling situations involving different circumstances. Leaders in this field, the authors clarify the often-mystifying phenomenon of simultaneous spatial dependence. By presenting new methods, they help with the interpretation of spatial regression models, especially ones that include spatial lags of the dependent variable. The authors also examine the relationship between spatiotemporal processes and long-run equilibrium states that are characterized by simultaneous spatial dependence. MATLAB® toolboxes useful for spatial econometric estimation are available on the authors’ websites. This work covers spatial econometric modeling as well as numerous applied illustrations of the methods. It encompasses many recent advances in spatial econometric models—including some previously unpublished results.
Applied Spatial Data Analysis with R
- Author : Roger S. Bivand,Edzer Pebesma,Virgilio Gómez-Rubio
- Publisher : Springer Science & Business Media
- Release Date : 2013-06-21
- Total pages : 405
- ISBN : 9781461476184
- File Size : 31,9 Mb
- Total Download : 260
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Applied Spatial Data Analysis with R, second edition, is divided into two basic parts, the first presenting R packages, functions, classes and methods for handling spatial data. This part is of interest to users who need to access and visualise spatial data. Data import and export for many file formats for spatial data are covered in detail, as is the interface between R and the open source GRASS GIS and the handling of spatio-temporal data. The second part showcases more specialised kinds of spatial data analysis, including spatial point pattern analysis, interpolation and geostatistics, areal data analysis and disease mapping. The coverage of methods of spatial data analysis ranges from standard techniques to new developments, and the examples used are largely taken from the spatial statistics literature. All the examples can be run using R contributed packages available from the CRAN website, with code and additional data sets from the book's own website. Compared to the first edition, the second edition covers the more systematic approach towards handling spatial data in R, as well as a number of important and widely used CRAN packages that have appeared since the first edition. This book will be of interest to researchers who intend to use R to handle, visualise, and analyse spatial data. It will also be of interest to spatial data analysts who do not use R, but who are interested in practical aspects of implementing software for spatial data analysis. It is a suitable companion book for introductory spatial statistics courses and for applied methods courses in a wide range of subjects using spatial data, including human and physical geography, geographical information science and geoinformatics, the environmental sciences, ecology, public health and disease control, economics, public administration and political science. The book has a website where complete code examples, data sets, and other support material may be found: http://www.asdar-book.org. The authors have taken part in writing and maintaining software for spatial data handling and analysis with R in concert since 2003.
International Encyclopedia of Geography, 15 Volume Set
- Author : Noel Castree,Michael F. Goodchild,Audrey Kobayashi,Weidong Liu,Richard A. Marston
- Publisher : John Wiley & Sons
- Release Date : 2017-03-20
- Total pages : 8364
- ISBN : 9780470659632
- File Size : 48,9 Mb
- Total Download : 972
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Representing the definitive reference work for this broad and dynamic field, The International Encyclopedia of Geography arises from an unprecedented collaboration between Wiley and the American Association of Geographers (AAG) to review and define the concepts, research, and techniques in geography and interrelated fields. Available as a robust online resource and as a 15-volume full-color print set, the Encyclopedia assembles a truly global group of scholars for a comprehensive, authoritative overview of geography around the world. Contains more than 1,000 entries ranging from 1,000 to 10,000 words offering accessible introductions to basic concepts, sophisticated explanations of complex topics, and information on geographical societies around the world Assembles a truly global group of more than 900 scholars hailing from over 40 countries, for a comprehensive, authoritative overview of geography around the world Provides definitive coverage of the field, encompassing human geography, physical geography, geographic information science and systems, earth studies, and environmental science Brings together interdisciplinary perspectives on geographical topics and techniques of interest across the social sciences, humanities, science, and medicine Features full color throughout the print version and more than 1,000 illustrations and photographs Annual updates to online edition
New Thinking in GIScience
- Author : Bin Li,Xun Shi,A-Xing Zhu,Cuizhen Wang,Hui Lin
- Publisher : Springer Nature
- Release Date : 2022-08-01
- Total pages : 381
- ISBN : 9789811938160
- File Size : 22,9 Mb
- Total Download : 602
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This book is a collection of seminal position essays by leading researchers on new development in Geographic Information Sciences (GIScience), covering a wide range of topics and representing a variety of perspectives. The authors propose enrichments and extensions to the conceptual framework of GIScience; discuss a series of transformational methodologies and technologies for analysis and modeling; elaborate on key issues in innovative approaches to data acquisition and integration, across earth sensing to social sensing; and outline frontiers in application domains, spanning from natural science to humanities and social science, e.g., urban science, land use and planning, social governance, transportation, crime, and public health, just name a few. The book provides an overview of the strategic directions on GIScience research and development. It will benefit researchers and practitioners in the field who are seeking a high-level reference regarding those directions.
Advances in Geocomputation
- Author : Daniel A. Griffith,Yongwan Chun,Denis J. Dean
- Publisher : Springer
- Release Date : 2017-01-03
- Total pages : 447
- ISBN : 9783319227863
- File Size : 41,6 Mb
- Total Download : 603
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This book contains refereed papers from the 13th International Conference on GeoComputation held at the University of Texas, Dallas, May 20-23, 2015. Since 1996, the members of the GeoComputation (the art and science of solving complex spatial problems with computers) community have joined together to develop a series of conferences in the United Kingdom, New Zealand, Australia, Ireland and the United States of America. The conference encourages diverse topics related to novel methodologies and technologies to enrich the future development of GeoComputation research.
Current Progress in Biological Research
- Author : Marina Silva-Opps
- Publisher : BoD – Books on Demand
- Release Date : 2013-04-24
- Total pages : 398
- ISBN : 9789535110972
- File Size : 11,9 Mb
- Total Download : 497
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Current Progress in Biological Research presents new insights into key topics from different areas of the biological sciences. Some of the topics covered in the book are antibiotic susceptibility, genomic rearrangement, historical biogeography, biogeographic patterns, endemism and the use of microorganisms for pest control. The book is an interesting collection of 16 original research articles written by respected experts in their fields. It is hoped that readers will be stimulated and challenged by the contents of this book.
Non-standard Spatial Statistics and Spatial Econometrics
- Author : Daniel A. Griffith,Jean H. Paul Paelinck
- Publisher : Springer Science & Business Media
- Release Date : 2011-01-11
- Total pages : 264
- ISBN : 9783642160431
- File Size : 46,7 Mb
- Total Download : 394
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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.