Local models for spatial analysis
著者
書誌事項
Local models for spatial analysis
CRC Press, c2011
2nd ed
- : hardback
大学図書館所蔵 全5件
  青森
  岩手
  宮城
  秋田
  山形
  福島
  茨城
  栃木
  群馬
  埼玉
  千葉
  東京
  神奈川
  新潟
  富山
  石川
  福井
  山梨
  長野
  岐阜
  静岡
  愛知
  三重
  滋賀
  京都
  大阪
  兵庫
  奈良
  和歌山
  鳥取
  島根
  岡山
  広島
  山口
  徳島
  香川
  愛媛
  高知
  福岡
  佐賀
  長崎
  熊本
  大分
  宮崎
  鹿児島
  沖縄
  韓国
  中国
  タイ
  イギリス
  ドイツ
  スイス
  フランス
  ベルギー
  オランダ
  スウェーデン
  ノルウェー
  アメリカ
注記
Includes bibliographical references (p. 277-306) and index
内容説明・目次
内容説明
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.
目次
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.
「Nielsen BookData」 より