Local Models for Spatial Analysis

Author:   Christopher D. Lloyd
Publisher:   Taylor & Francis Ltd
Edition:   2nd edition
ISBN:  

9780367864934


Pages:   352
Publication Date:   10 December 2019
Format:   Paperback
Availability:   In Print   Availability explained
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Local Models for Spatial Analysis


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Overview

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

Full Product Details

Author:   Christopher D. Lloyd
Publisher:   Taylor & Francis Ltd
Imprint:   CRC Press
Edition:   2nd edition
Weight:   0.440kg
ISBN:  

9780367864934


ISBN 10:   0367864932
Pages:   352
Publication Date:   10 December 2019
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

Introduction. Local Modelling. Grid Data. Spatial Patterning in Single Variables. Spatial Relations. Spatial Prediction 1: Deterministic Methods, Curve Fitting, and Smoothing. Spatial Prediction 2: Geostatistics. Point Patterns and Cluster Detection. Summary: Local Models for Spatial Analysis. Index.

Reviews

...it is a wonderfully practical and useful guide to a variety of spatial analysis techniques. It serves as an excellent addition to the bookshelf of any basic or applied researcher doing spatial analysis. --Jeremy Mennis Temple University, Philadelphia, PA, USA


"""…it is a wonderfully practical and useful guide to a variety of spatial analysis techniques. It serves as an excellent addition to the bookshelf of any basic or applied researcher doing spatial analysis."" ––Jeremy Mennis Temple University, Philadelphia, PA, USA"


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Christopher D. Lloyd

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