Local Models For Spatial Analysis Second Edition

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Local Models for Spatial Analysis, Second Edition

Author : Christopher D. Lloyd
Publisher : CRC Press
ISBN 13 : 9781439829196
Total Pages : 352 pages
Book Rating : 4.8/5 (291 download)

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Book Synopsis Local Models for Spatial Analysis, Second Edition by : Christopher D. Lloyd

Download or read book Local Models for Spatial Analysis, Second Edition written by Christopher D. Lloyd and published by CRC Press. This book was released on 2010-10-13 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt: Written in recognition of developments in spatial data analysis that focused on differences between places, the first edition of Local Models for Spatial Analysis broke new ground with its focus on local modelling methods. Reflecting the continued growth and increased interest in this area, the second edition describes a wide range of methods which account for local variations in geographical properties. What’s new in the Second Edition: Additional material on geographically-weighted statistics and local regression approaches A better overview of local models with reference to recent critical reviews about the subject area Expanded coverage of individual methods and connections between them Chapters have been restructured to clarify the distinction between global and local methods A new section in each chapter references key studies or other accounts that support the book Selected resources provided online to support learning An introduction to the methods and their underlying concepts, the book uses worked examples and case studies to demonstrate how the algorithms work their practical utility and range of application. It provides an overview of a range of different approaches that have been developed and employed within Geographical Information Science (GIScience). Starting with first principles, the author introduces users of GISystems to the principles and application of some widely used local models for the analysis of spatial data, including methods being developed and employed in geography and cognate disciplines. He discusses the relevant software packages that can aid their implementation and provides a summary list in Appendix A. Presenting examples from a variety of disciplines, the book demonstrates the importance of local models for all who make use of spatial data. Taking a problem driven approach, it provides extensive guidance on the selection and application of local models.

Local Models for Spatial Analysis

Author :
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (741 download)

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Book Synopsis Local Models for Spatial Analysis by :

Download or read book Local Models for Spatial Analysis written by and published by . This book was released on 2010 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Local Models for Spatial Analysis

Author : Christopher D. Lloyd
Publisher : CRC Press
ISBN 13 : 1439829233
Total Pages : 354 pages
Book Rating : 4.4/5 (398 download)

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Book Synopsis Local Models for Spatial Analysis by : Christopher D. Lloyd

Download or read book Local Models for Spatial Analysis written by Christopher D. Lloyd and published by CRC Press. This book was released on 2010-10-13 with total page 354 pages. Available in PDF, EPUB and Kindle. Book excerpt: Written in recognition of developments in spatial data analysis that focused on differences between places, the first edition of Local Models for Spatial Analysis broke new ground with its focus on local modelling methods. Reflecting the continued growth and increased interest in this area, the second edition describes a wide range of methods which

Hierarchical Modeling and Analysis for Spatial Data, Second Edition

Author : Sudipto Banerjee
Publisher : CRC Press
ISBN 13 : 1439819173
Total Pages : 587 pages
Book Rating : 4.4/5 (398 download)

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Book Synopsis Hierarchical Modeling and Analysis for Spatial Data, Second Edition by : Sudipto Banerjee

Download or read book Hierarchical Modeling and Analysis for Spatial Data, Second Edition written by Sudipto Banerjee and published by CRC Press. This book was released on 2014-09-12 with total page 587 pages. Available in PDF, EPUB and Kindle. Book excerpt: Keep Up to Date with the Evolving Landscape of Space and Space-Time Data Analysis and Modeling Since the publication of the first edition, the statistical landscape has substantially changed for analyzing space and space-time data. More than twice the size of its predecessor, Hierarchical Modeling and Analysis for Spatial Data, Second Edition reflects the major growth in spatial statistics as both a research area and an area of application. New to the Second Edition New chapter on spatial point patterns developed primarily from a modeling perspective New chapter on big data that shows how the predictive process handles reasonably large datasets New chapter on spatial and spatiotemporal gradient modeling that incorporates recent developments in spatial boundary analysis and wombling New chapter on the theoretical aspects of geostatistical (point-referenced) modeling Greatly expanded chapters on methods for multivariate and spatiotemporal modeling New special topics sections on data fusion/assimilation and spatial analysis for data on extremes Double the number of exercises Many more color figures integrated throughout the text Updated computational aspects, including the latest version of WinBUGS, the new flexible spBayes software, and assorted R packages The Only Comprehensive Treatment of the Theory, Methods, and Software This second edition continues to provide a complete treatment of the theory, methods, and application of hierarchical modeling for spatial and spatiotemporal data. It tackles current challenges in handling this type of data, with increased emphasis on observational data, big data, and the upsurge of associated software tools. The authors also explore important application domains, including environmental science, forestry, public health, and real estate.

Representations of Poverty and Place

Author : Laura L Paterson
Publisher : Springer
ISBN 13 : 3319935038
Total Pages : 279 pages
Book Rating : 4.3/5 (199 download)

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Book Synopsis Representations of Poverty and Place by : Laura L Paterson

Download or read book Representations of Poverty and Place written by Laura L Paterson and published by Springer. This book was released on 2018-11-03 with total page 279 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explores a novel methodological approach which combines analytical techniques from linguistics and geography to bring fresh insights to the study of poverty. Using Geographical Text Analysis, it maps the discursive construction of poverty in the UK and compares the results to what administrative data reveal. The analysis draws together qualitative and quantitative techniques from corpus linguistics, critical discourse analysis, Geographical Information Science, and the spatial humanities. By identifying the place-names that occur within close proximity to search terms associated with to poverty it shows how different newspapers use place to foreground different aspects of poverty (including employment, housing, money, and benefits), and how the London-centric nature of newspaper reporting dominates the discursive construction of UK poverty. This book demonstrates how interdisciplinary research methods can illuminate complex social issues and will appeal to researchers in a number of disciplines from sociology, geography and the spatial humanities, economics, linguistics, health, and public policy, in addition to policymakers and practitioners.

The Science of Crime Measurement

Author : Martin A. Andresen
Publisher : Routledge
ISBN 13 : 113500627X
Total Pages : 201 pages
Book Rating : 4.1/5 (35 download)

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Book Synopsis The Science of Crime Measurement by : Martin A. Andresen

Download or read book The Science of Crime Measurement written by Martin A. Andresen and published by Routledge. This book was released on 2014-01-03 with total page 201 pages. Available in PDF, EPUB and Kindle. Book excerpt: Crime statistics are ubiquitous in modern society – but how accurate are they? This book investigates the science of crime measurement focussing on four main questions: how do we count crime? How do we calculate crime rates? Are there other measurements of crime? What are the issues surrounding crime statistics? All too often we take the measurement of crime at face value when there is, in fact, a science behind it. This book specifically deals with issues related to spatially-referenced crime data that are used to analyse crime patterns across the urban environment. The first section of the book considers alternative crime rate calculations. The second section of the book contains a thorough discussion of a measure of crime specialisation. Finally, the third section of the book addresses a number of aggregation issues that are present with such data: crime type aggregations, temporal aggregations of crime data, the stability of crime patterns over time, and the importance of spatial scale. This book builds on a growing body of literature on the science of crime measurement and offers a comprehensive account of this growing subfield of criminology. The book speaks to wider debates in the fields of crime analysis, environmental criminology and crime prevention and will be perfect reading for advanced level undergraduate and graduate students looking to find out more about the measurement of crime.

Quantitative Geography

Author : A Stewart Fotheringham
Publisher : SAGE
ISBN 13 : 1847876412
Total Pages : 283 pages
Book Rating : 4.8/5 (478 download)

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Book Synopsis Quantitative Geography by : A Stewart Fotheringham

Download or read book Quantitative Geography written by A Stewart Fotheringham and published by SAGE. This book was released on 2000-01-11 with total page 283 pages. Available in PDF, EPUB and Kindle. Book excerpt: Integrating a discussion of the application of quantitative methods with practical examples, this book explains the philosophy of the new quantitative methodologies and contrasts them with the methods associated with geography′s `Quantitative Revolution′ of the 1960s. Key issues discussed include: the nature of modern quantitative geography; spatial data; geographical information systems; visualization; local analysis; point pattern analysis; spatial regression; and statistical inference. Concluding with a review of models used in spatial theory, the authors discuss the current challenges to spatial data analysis. Written to be accessible, to communicate the diversity and excitement of recent thinking, Quantitative Geography will be required reading for students and researchers in any discipline where quantitative methods are used to analyse spatial data. `This is a veritable tour de force of everything that is exciting about quantitative geography and GIS. It is a timely, thorough and exciting account of the state of the art and science of spatial analysis′ - Paul Longley, University of Bristol `A highly innovative and up-to-date text. It is unique in its coverage of the many developments that have taken place in the field over the past few years. The book is one that is highly readable and stimulating for those with some background in the field, and its expositional style and many examples will make it stimulating to newcomers as well′ - Peter Rogerson, State University of New York at Buffalo `Brings the field thoroughly up to date, integrating modern methods of GIS with a comprehensive and easy-to-read overview of the most recent and powerful techniques of spatial analysis. The book will be valuable to students and researchers in any discipline that seeks to explore or explain phenomena in geographical context, and will make excellent reading for geographers, political scientists, criminologists, anthropologists, geologists, epidemiologists, ecologists, and many others. It offers a spirited challenge to critics of a scientific approach to social science, and demonstrates the value of its subject matter through abundant examples′ - Michael Goodchild, National Center for Geographic Information and Analysis, University of California, Santa Barbara `There is a view within some parts of academic geography that what used to be called "quantitative geography" is dead, having been subsumed within "geographical information systems" or else of no continuing interest. This book should correct this view. First, it shows that quantitative methods have remained an exciting area of development and, second, it shows that, if anything, they have more relevance to substantive problems of interest than they have ever had. Although not specifically about GIS, it is a book that should be read by everyone concerned with the analysis of geographical information′ - David Unwin, Birkbeck College, University of London

Geographic Information Analysis

Author : David O'Sullivan
Publisher : John Wiley & Sons
ISBN 13 : 1119023874
Total Pages : 432 pages
Book Rating : 4.1/5 (19 download)

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Book Synopsis Geographic Information Analysis by : David O'Sullivan

Download or read book Geographic Information Analysis written by David O'Sullivan and published by John Wiley & Sons. This book was released on 2014-07-30 with total page 432 pages. Available in PDF, EPUB and Kindle. Book excerpt: Clear, up-to-date coverage of methods for analyzing geographicalinformation in a GIS context Geographic Information Analysis, Second Edition is fullyupdated to keep pace with the most recent developments of spatialanalysis in a geographic information systems (GIS) environment.Still focusing on the universal aspects of this science, thisrevised edition includes new coverage on geovisualization andmapping as well as recent developments using local statistics. Building on the fundamentals, this book explores such keyconcepts as spatial processes, point patterns, and autocorrelationin area data, as well as in continuous fields. Also addressed aremethods for combining maps and performing computationally intensiveanalysis. New chapters tackle mapping, geovisualization, and localstatistics, including the Moran Scatterplot and GeographicallyWeighted Regression (GWR). An appendix provides a primer on linearalgebra using matrices. Complete with chapter objectives, summaries, "thoughtexercises," explanatory diagrams, and a chapter-by-chapterbibliography, Geographic Information Analysis is a practicalbook for students, as well as a valuable resource for researchersand professionals in the industry.

Spatial Analysis with R

Author : Tonny J. Oyana
Publisher : CRC Press
ISBN 13 : 100017347X
Total Pages : 281 pages
Book Rating : 4.0/5 (1 download)

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Book Synopsis Spatial Analysis with R by : Tonny J. Oyana

Download or read book Spatial Analysis with R written by Tonny J. Oyana and published by CRC Press. This book was released on 2020-08-31 with total page 281 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the five years since the publication of the first edition of Spatial Analysis: Statistics, Visualization, and Computational Methods, many new developments have taken shape regarding the implementation of new tools and methods for spatial analysis with R. The use and growth of artificial intelligence, machine learning and deep learning algorithms with a spatial perspective, and the interdisciplinary use of spatial analysis are all covered in this second edition along with traditional statistical methods and algorithms to provide a concept-based problem-solving learning approach to mastering practical spatial analysis. Spatial Analysis with R: Statistics, Visualization, and Computational Methods, Second Edition provides a balance between concepts and practicums of spatial statistics with a comprehensive coverage of the most important approaches to understand spatial data, analyze spatial relationships and patterns, and predict spatial processes. New in the Second Edition: Includes new practical exercises and worked-out examples using R Presents a wide range of hands-on spatial analysis worktables and lab exercises All chapters are revised and include new illustrations of different concepts using data from environmental and social sciences Expanded material on spatiotemporal methods, visual analytics methods, data science, and computational methods Explains big data, data management, and data mining This second edition of an established textbook, with new datasets, insights, excellent illustrations, and numerous examples with R, is perfect for senior undergraduate and first-year graduate students in geography and the geosciences.

Encyclopedia of Library and Information Science, Second Edition -

Author : Miriam Drake
Publisher : CRC Press
ISBN 13 : 9780824720780
Total Pages : 904 pages
Book Rating : 4.7/5 (27 download)

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Book Synopsis Encyclopedia of Library and Information Science, Second Edition - by : Miriam Drake

Download or read book Encyclopedia of Library and Information Science, Second Edition - written by Miriam Drake and published by CRC Press. This book was released on 2003-05-20 with total page 904 pages. Available in PDF, EPUB and Kindle. Book excerpt: A revitalized version of the popular classic, the Encyclopedia of Library and Information Science, Second Edition targets new and dynamic movements in the distribution, acquisition, and development of print and online media-compiling articles from more than 450 information specialists on topics including program planning in the digital era, recruitment, information management, advances in digital technology and encoding, intellectual property, and hardware, software, database selection and design, competitive intelligence, electronic records preservation, decision support systems, ethical issues in information, online library instruction, telecommuting, and digital library projects.

Geocomputation with R

Author : Robin Lovelace
Publisher : CRC Press
ISBN 13 : 1351396900
Total Pages : 335 pages
Book Rating : 4.3/5 (513 download)

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Book Synopsis Geocomputation with R by : Robin Lovelace

Download or read book Geocomputation with R written by Robin Lovelace and published by CRC Press. This book was released on 2019-03-22 with total page 335 pages. Available in PDF, EPUB and Kindle. Book excerpt: Geocomputation with R is for people who want to analyze, visualize and model geographic data with open source software. It is based on R, a statistical programming language that has powerful data processing, visualization, and geospatial capabilities. The book equips you with the knowledge and skills to tackle a wide range of issues manifested in geographic data, including those with scientific, societal, and environmental implications. This book will interest people from many backgrounds, especially Geographic Information Systems (GIS) users interested in applying their domain-specific knowledge in a powerful open source language for data science, and R users interested in extending their skills to handle spatial data. The book is divided into three parts: (I) Foundations, aimed at getting you up-to-speed with geographic data in R, (II) extensions, which covers advanced techniques, and (III) applications to real-world problems. The chapters cover progressively more advanced topics, with early chapters providing strong foundations on which the later chapters build. Part I describes the nature of spatial datasets in R and methods for manipulating them. It also covers geographic data import/export and transforming coordinate reference systems. Part II represents methods that build on these foundations. It covers advanced map making (including web mapping), "bridges" to GIS, sharing reproducible code, and how to do cross-validation in the presence of spatial autocorrelation. Part III applies the knowledge gained to tackle real-world problems, including representing and modeling transport systems, finding optimal locations for stores or services, and ecological modeling. Exercises at the end of each chapter give you the skills needed to tackle a range of geospatial problems. Solutions for each chapter and supplementary materials providing extended examples are available at https://geocompr.github.io/geocompkg/articles/. Dr. Robin Lovelace is a University Academic Fellow at the University of Leeds, where he has taught R for geographic research over many years, with a focus on transport systems. Dr. Jakub Nowosad is an Assistant Professor in the Department of Geoinformation at the Adam Mickiewicz University in Poznan, where his focus is on the analysis of large datasets to understand environmental processes. Dr. Jannes Muenchow is a Postdoctoral Researcher in the GIScience Department at the University of Jena, where he develops and teaches a range of geographic methods, with a focus on ecological modeling, statistical geocomputing, and predictive mapping. All three are active developers and work on a number of R packages, including stplanr, sabre, and RQGIS.

Complexity and Geographical Economics

Author : Pasquale Commendatore
Publisher : Springer
ISBN 13 : 3319128051
Total Pages : 377 pages
Book Rating : 4.3/5 (191 download)

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Book Synopsis Complexity and Geographical Economics by : Pasquale Commendatore

Download or read book Complexity and Geographical Economics written by Pasquale Commendatore and published by Springer. This book was released on 2015-02-17 with total page 377 pages. Available in PDF, EPUB and Kindle. Book excerpt: The uneven geographical distribution of economic activities is a huge challenge worldwide and also for the European Union. In Krugman’s New Economic Geography economic systems have a simple spatial structure. This book shows that more sophisticated models should visualise the EU as an evolving trade network with a specific topology and different aggregation levels. At the highest level, economic geography models give a bird eye’s view of spatial dynamics. At a medium level, institutions shape the economy and the structure of (financial and labour) markets. At the lowest level, individual decisions interact with the economic, social and institutional environment; the focus is on firms’ decision on location and innovation. Such multilevel models exhibit complex dynamic patterns – path dependence, cumulative causation, hysteresis – on a network structure; and specific analytic tools are necessary for studying strategic interaction, heterogeneity and nonlinearities.

Spatial Econometric Methods in Agricultural Economics Using R

Author : Paolo Postiglione
Publisher : CRC Press
ISBN 13 : 1498766838
Total Pages : 287 pages
Book Rating : 4.4/5 (987 download)

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Book Synopsis Spatial Econometric Methods in Agricultural Economics Using R by : Paolo Postiglione

Download or read book Spatial Econometric Methods in Agricultural Economics Using R written by Paolo Postiglione and published by CRC Press. This book was released on 2021-12-22 with total page 287 pages. Available in PDF, EPUB and Kindle. Book excerpt: Modern tools, such as GIS and remote sensing, are increasingly used in the monitoring of agricultural resources. The developments in GIS technology offer growing opportunities to agricultural economics analysts dealing with large and detailed spatial databases, allowing them to combine spatial information from different sources and to produce different models. The availability of these valuable sources of information makes the advanced models suggested in the spatial statistic and econometric literature applicable to agricultural economics. This book aims at supporting stakeholders to design spatial surveys for agricultural data and/or to analyse the geographically collected data. This book attempts to describe the main typology of agricultural data and the most appropriate methods for the analysis, together with a detailed description of the available data sources and their collection methods. Topics such as spatial interpolation, point patterns, spatial autocorrelation, survey data analysis, small area estimation, regional data modelling, and spatial econometrics techniques are covered jointly with issues arising from the integration of several data types. The theory of spatial methods is complemented by real and/or simulated examples implemented through the open-source software R.

An Introduction to R for Spatial Analysis and Mapping

Author : Chris Brunsdon
Publisher : SAGE
ISBN 13 : 1473911192
Total Pages : 475 pages
Book Rating : 4.4/5 (739 download)

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Book Synopsis An Introduction to R for Spatial Analysis and Mapping by : Chris Brunsdon

Download or read book An Introduction to R for Spatial Analysis and Mapping written by Chris Brunsdon and published by SAGE. This book was released on 2014-04-30 with total page 475 pages. Available in PDF, EPUB and Kindle. Book excerpt: "In an age of big data, data journalism and with a wealth of quantitative information around us, it is not enough for students to be taught only 100 year old statistical methods using ′out of the box′ software. They need to have 21st-century analytical skills too. This is an excellent and student-friendly text from two of the world leaders in the teaching and development of spatial analysis. It shows clearly why the open source software R is not just an alternative to commercial GIS, it may actually be the better choice for mapping, analysis and for replicable research. Providing practical tips as well as fully working code, this is a practical ′how to′ guide ideal for undergraduates as well as those using R for the first time. It will be required reading on my own courses." - Richard Harris, Professor of Quantitative Social Science, University of Bristol R is a powerful open source computing tool that supports geographical analysis and mapping for the many geography and ‘non-geography’ students and researchers interested in spatial analysis and mapping. This book provides an introduction to the use of R for spatial statistical analysis, geocomputation and the analysis of geographical information for researchers collecting and using data with location attached, largely through increased GPS functionality. Brunsdon and Comber take readers from ‘zero to hero’ in spatial analysis and mapping through functions they have developed and compiled into R packages. This enables practical R applications in GIS, spatial analyses, spatial statistics, mapping, and web-scraping. Each chapter includes: Example data and commands for exploring it Scripts and coding to exemplify specific functionality Advice for developing greater understanding - through functions such as locator(), View(), and alternative coding to achieve the same ends Self-contained exercises for students to work through Embedded code within the descriptive text. This is a definitive ′how to′ that takes students - of any discipline - from coding to actual applications and uses of R.

Spatial Regression Models

Author : Michael D. Ward
Publisher : SAGE Publications
ISBN 13 : 1544328826
Total Pages : 143 pages
Book Rating : 4.5/5 (443 download)

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Book Synopsis Spatial Regression Models by : Michael D. Ward

Download or read book Spatial Regression Models written by Michael D. Ward and published by SAGE Publications. This book was released on 2018-04-10 with total page 143 pages. Available in PDF, EPUB and Kindle. Book excerpt: Spatial Regression Models illustrates the use of spatial analysis in the social sciences within a regression framework and is accessible to readers with no prior background in spatial analysis. The text covers different modeling-related topics for continuous dependent variables, including: mapping data on spatial units, exploratory spatial data analysis, working with regression models that have spatially dependent regressors, and estimating regression models with spatially correlated error structures. Using social sciences examples based on real data, Michael D. Ward and Kristian Skrede Gleditsch illustrate the concepts discussed, and show how to obtain and interpret relevant results. The examples are presented along with the relevant code to replicate all the analysis using the R package for statistical computing. Users can download both the data and computer code to work through all the examples found in the text. New to the Second Edition is a chapter on mapping as data exploration and its role in the research process, updates to all chapters based on substantive and methodological work, as well as software updates, and information on estimation of time-series, cross-sectional spatial models.

Multiscale Geographically Weighted Regression

Author : A. Stewart Fotheringham
Publisher : CRC Press
ISBN 13 : 1000989674
Total Pages : 195 pages
Book Rating : 4.0/5 (9 download)

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Book Synopsis Multiscale Geographically Weighted Regression by : A. Stewart Fotheringham

Download or read book Multiscale Geographically Weighted Regression written by A. Stewart Fotheringham and published by CRC Press. This book was released on 2023-11-15 with total page 195 pages. Available in PDF, EPUB and Kindle. Book excerpt: Multiscale geographically weighted regression (MGWR) is an important method that is used across many disciplines for exploring spatial heterogeneity and modeling local spatial processes. This book introduces the concepts behind local spatial modeling and explains how to model heterogeneous spatial processes within a regression framework. It starts with the basic ideas and fundamentals of local spatial modeling followed by a detailed discussion of scale issues and statistical inference related to MGWR. A comprehensive guide to free, user-friendly, software for MGWR is provided, as well as an example of the application of MGWR to understand voting behavior in the 2020 US Presidential election. Multiscale Geographically Weighted Regression: Theory and Practice is the definitive guide to local regression modeling and the analysis of spatially varying processes, a very cutting-edge, hands-on, and innovative resource. Features Provides a balance between conceptual and technical introduction to local models Explains state-of-the-art spatial analysis technique for multiscale regression modeling Describes best practices and provides a detailed walkthrough of freely available software, through examples and comparisons with other common spatial data modeling techniques Includes a detailed case study to demonstrate methods and software Takes a new and exciting angle on local spatial modeling using MGWR, an innovation to the previous local modeling ‘bible’ GWR The book is ideal for senior undergraduate and graduate students in advanced spatial analysis and GIS courses taught in any spatial science discipline as well as for researchers, academics, and professionals who want to understand how location can affect human behavior through local regression modeling.

Geographically Weighted Regression

Author : A. Stewart Fotheringham
Publisher : John Wiley & Sons
ISBN 13 : 0470855258
Total Pages : 282 pages
Book Rating : 4.4/5 (78 download)

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Book Synopsis Geographically Weighted Regression by : A. Stewart Fotheringham

Download or read book Geographically Weighted Regression written by A. Stewart Fotheringham and published by John Wiley & Sons. This book was released on 2003-02-21 with total page 282 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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).