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Author: Christopher D. Lloyd
Publisher: CRC Press
ISBN: 9781439829196
Category : Technology & Engineering
Languages : en
Pages : 352
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Book Description
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.
Author: Christopher D. Lloyd
Publisher: CRC Press
ISBN: 9781439829196
Category : Technology & Engineering
Languages : en
Pages : 352
Get Book Here
Book Description
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.
Author: Christopher D. Lloyd
Publisher: CRC Press
ISBN: 1439829233
Category : Mathematics
Languages : en
Pages : 354
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Book Description
Focusing on solutions, this second edition provides guidance for readers who face a variety of real-world problems. The text presents a complete introduction to key concepts and a clear mapping of the methods. New chapters address spatial patterning in single variables and spatial relations. The author distinguishes between local and global methods and provides detailed coverage of geographical weighting, image texture measures, local spatial autocorrelation, and geographically weighted regression.
Author:
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Book Description
Author: Paul A. Longley
Publisher: John Wiley & Sons
ISBN: 9780470236154
Category : Technology & Engineering
Languages : en
Pages : 422
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Book Description
Spatial Analysis: Modelling in a GIS Environment Edited by PaulLongley and Michael Batty Digital data and information are usedincreasingly by academics, professionals, local authorities, andgovernment departments. Powerful new technologies, such asgeographic information systems (GIS), are being developed toanalyse such data, and GIS technologies are rapidly becoming partof the emergent world digital infrastructure. This book shows howcomputer methods of analysis and modelling, built around GIS, canbe used to identify ways in which our cities and regions might bebetter planned and understood. The contributors to this book areall actively involved in research using geographic informationsystems. This book will be valuable reading for: * Geographers, researchers, and regional analysts * Population theorists and regional economists with interests inlarge-scale demographic and employment data * Planners and policy-makers who wish to use GIS to improve theirdecision making * Business analysts who wish to explore markets using the mostrecent advances in digital spatial data technology * All those interested in geodemographics Paul Longley is Professor of Geography at the Department ofGeography, University of Bristol, United Kingdom. Michael Batty isProfessor of Spatial Analysis and Planning at the UniversityCollege London. United Kingdom.
Author: A. Stewart Fotheringham
Publisher: John Wiley & Sons
ISBN: 0470855258
Category : Science
Languages : en
Pages : 282
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Book Description
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).
Author: Lena Sanders
Publisher: Wiley-ISTE
ISBN:
Category : Mathematics
Languages : en
Pages : 360
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Book Description
This title provides a broad overview of the different types of models used in advanced spatial analysis. The models concern spatial organization, location factors and spatial interaction patterns from both static and dynamic perspectives. Each chapter gives a broad overview of the subject, covering both theoretical developments and practical applications. The advantages of an interdisciplinary approach are illustrated in the way that the viewpoint of each of the individual disciplines are brought together when considering questions relevant to spatial analysis. The authors of the chapters come from a range of different disciplines (geography, economy, hydrology, ecology, etc.) and are specialists in their field. They use a range of methods and modeling tools developed in mathematics, statistics, artificial intelligence and physics.
Author: A. Stewart Fotheringham
Publisher: CRC Press
ISBN: 1000989674
Category : Technology & Engineering
Languages : en
Pages : 195
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Book Description
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.
Author: Hamid Reza Pourghasemi
Publisher: Elsevier
ISBN: 0128156953
Category : Science
Languages : en
Pages : 800
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Book Description
Spatial Modeling in GIS and R for Earth and Environmental Sciences offers an integrated approach to spatial modelling using both GIS and R. Given the importance of Geographical Information Systems and geostatistics across a variety of applications in Earth and Environmental Science, a clear link between GIS and open source software is essential for the study of spatial objects or phenomena that occur in the real world and facilitate problem-solving. Organized into clear sections on applications and using case studies, the book helps researchers to more quickly understand GIS data and formulate more complex conclusions. The book is the first reference to provide methods and applications for combining the use of R and GIS in modeling spatial processes. It is an essential tool for students and researchers in earth and environmental science, especially those looking to better utilize GIS and spatial modeling. - Offers a clear, interdisciplinary guide to serve researchers in a variety of fields, including hazards, land surveying, remote sensing, cartography, geophysics, geology, natural resources, environment and geography - Provides an overview, methods and case studies for each application - Expresses concepts and methods at an appropriate level for both students and new users to learn by example
Author: Michael F. Goodchild
Publisher: Oxford University Press, USA
ISBN: 0195152700
Category : Mathematics
Languages : en
Pages : 481
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Book Description
Thinking spatially in the social sciences / Michael F. Goodchild and Donald G. Janelle -- Inferring the behavior of households from remotely sensed changes in land cover : current methods and future directions / Bruce Boucek and Emilio F. Moran -- Geovisualization of human activity patterns using 3D GIS : a time-geographic approach / Mei-Po Kwan and Jiyeong Lee -- Agent-based modeling : from individual residential choice to urban residential dynamics / Itzhak Benenson. Too much of the wrong kind of data : implications for the practice of micro-scale spatial modeling / David O'Sullivan -- Neighborhood-level analysis. Identifying ethnic neighborhoods with census data : group concentration and spatial clustering / John R. Logan and Wenquan Zhang. Spatial analyses of homicide with areal data / Steven F. Messner and Luc Anselin. Spatial (dis)advantage and homicide in Chicago neighborhoods / Robert J. Sampson and Jeffrey D. Morenoff. Measuring spatial diffusion of shots fired activity across city neighborhoods / Jacqueline Cohen and George Tita. The spatial structure of urban political discussion networks / Munroe Eagles, Paul Bélanger, and Hugh W. Calkins -- Region-level analysis. Mapping social exclusion and inclusion in developing countries : spatial patterns of Sào Paulo in the 1990s / Gilberto Cǎmara, Aldaiza Sposati, Dirce Koga, Antonio Miguel Monteiro, Frederico Roman Ramos, Eduardo Camargo, and Suzana Druck Fuks. Business location and spatial externalities : tying concepts to measures / Stuart H Sweeney and Edward J. Feser. Updating spatial perspectives and analytical frameworks in urban research / Qing Shen. Spatial analysis of regional income inequality / Sergio J. Rey. Shaping policy decisions with spatial analysis / Ted K. Bradshaw and Brian Muller. Geographical approaches for reconstructing past human behavior from prehistoric roadways / John Kantner -- Multi-scale spatial perspectives. Time, space, and archaeological landscapes : establishing connections in the first millennium BC / Patrick Daly and Gary Lock. Spatial perspectives in public health / Anthony C. Gatrell and Janette E. Rigby. The role of spatial analysis in demographic research / John R. Weeks. Spatial interaction models of international telecommunication flows / Jean-Michel Guldmann. Planning scenario visualization and assessment : a cellular automata based integrated spatial decision support system / Roger White, Bas Straatman, and Guy Engelen.
Author: A Stewart Fotheringham
Publisher: SAGE
ISBN: 1446206505
Category : Social Science
Languages : en
Pages : 529
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Book Description
The widespread use of Geographical Information Systems (GIS) has significantly increased the demand for knowledge about spatial analytical techniques across a range of disciplines. As growing numbers of researchers realise they are dealing with spatial data, the demand for specialised statistical and mathematical methods designed to deal with spatial data is undergoing a rapid increase. Responding to this demand, The Handbook of Spatial Analysis is a comprehensive and authoritative discussion of issues and techniques in the field of Spatial Data Analysis. Its principal focus is on: • why the analysis of spatial data needs separate treatment • the main areas of spatial analysis • the key debates within spatial analysis • examples of the application of various spatial analytical techniques • problems in spatial analysis • areas for future research Aimed at an international audience of academics, The Handbook of Spatial Analysis will also prove essential to graduate level students and researchers in government agencies and the private sector.
