Local Models for Spatial Analysis

Christopher D. Lloyd

ISBN 10: 0367864932 / ISBN 13: 9780367864934

Editore: CRC Press, 2020

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nach der Bestellung gedruckt Neuware - Printed after ordering - With new chapters addressing spatial patterning in single variables and spatial relations, this second edition provides guidance to a wide variety of real-world problems. Focusing on solutions, it presents a complete introduction to key concepts and a clear mapping of the methods discussed. The text explores connections betwe.

Codice articolo 9780367864934

Dati bibliografici

• Titolo: Local Models for Spatial Analysis
• Editore: CRC Press
• Data di pubblicazione: 2020
• Lingua: Inglese
• ISBN 10: 0367864932
• ISBN 13: 9780367864934
• Rilegatura: Taschenbuch
• Edizione: seconda edizione
• Condizione: Neu
• Dimensioni: 234 L x 156 A x 19 P (millimetri) 234 millimetri di larghezza per 156 millimetri di altezza per 19 millimetri di profondità
• Peso: 538 grammi

Descrizione articolo

Riassunto

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 pro

Informazioni sull?autore

Christopher D. Lloyd