eBook Local Models for Spatial Analysis download
by Christopher D. Lloyd
Author: Christopher D. Lloyd
Publisher: CRC Press; 2 edition (October 13, 2010)
ePub: 1302 kb
Fb2: 1634 kb
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Download books for free. Collecting a variety of models into a single reference, Local Models for Spatial Analysis explains in detail a variety of approaches for analyzing univariate and multivariate spatial data. Different models make use of data in unique ways, and this book offers perspectives on various definitions of what constitutes вЂњlocal,вЂќ varying spatial scales, and nonstationary models.
The distinction between local and global is important when aiming at understanding articulation work in large-scale heterogenous settings. The differences and their consequences are discussed.
Christopher D. Lloyd.
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Автор: Lloyd, Christopher D. Название: Local models for spatial analysis ISBN: 1439829195 ISBN-13(EAN) .
Local Models Spatial Analysis Hardcover – 2007. by. Christopher D. Lloyd (Author). Find all the books, read about the author, and more. Are you an author? Learn about Author Central. Collaboration and Resistance in Occupied France: Representing Treason and Sacrifice. 1. 3 Mb. Back To The Future - The Storybook (From the hit movie starring Michael J Fox & Christopher Lloyd). George Gipe, Robert Zemeckis, Stephen Spielberg. 9 Mb. 2 Mb. Local Models for Spatial Analysis. Category: Politics Sociology.
Local Models for Spatial Analysis. Introduction Remit of This Book Local Models and Methods What Is Local? Spatial Dependence Spatial Scale Stationarity Spatial Data Models Data Sets Used for Illustrative Purposes A Note on Notatio. More). The analysis of quantitative sources of data on multiple population characteristics is often conducted through the use of some form of multivariate statistical procedure such as principal component.
Authors and affiliations. First Online: 29 October 2008. Authors and Affiliations.
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.