Modelling scale in geographical information science
著者
書誌事項
Modelling scale in geographical information science
Wiley, c2001
大学図書館所蔵 全8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 and index
内容説明・目次
内容説明
Scale has long been a fundamental concept in geography. Its importance is emphasised in geographical information science (GIScience) where the computational domain necessitates the rigorous definition and handling of scale. Geographical information systems are now used in almost every walk of life, but scale is often handled poorly in such systems. Modelling Scale in Geographical Information Science is written by an international team of contributors drawn from both industry and academia, and considers models and methods of scaling spatial data in both human and physical systems.
Divided into three sections to give a balanced coverage of the key problems, tools and models associated with scale:
* Fractal Models
* The Modifiable Areal Unit Problem
* Changing the Scale of Measurement
This book is an essential read for all GIScience researchers, advanced students and practitioners who want to delve more deeply into the scale issues of the spatial data and spatial models that form the basis of their analyses.
目次
List of Contributors.
Foreword (Michael Batty).
Preface.
INTRODUCTION.
Models of Scale and Scales of Modelling (Michael F. Goodchild).
PART 1: FRACTAL MODELS.
Fractal Characterization of Multitemporal Remote Sensing Data (Dale A. Quattrochi, et al.).
Fractals and Scale Dependencies in Topography (Nicholas J. Tate and Jo Wood).
Measuring the 'Urban':Measuring and Modelling a Regional Settlement Hierarchy (Victor Mesev and Paul A. Longley).
The Multifractal Structure of the Human Population Distribution (Iqbal Adjali and Stephen Appleby).
PART 2: THE MODIFIABLE AREAL UNIT PROBLEM.
Behaviour of Regression Models under Random Aggregation (Robin Flowerdew et al).
Using Local Census Data to Investigate Scale Effects (Mark Tranmer and David Steel).
Scale Issues and Geographically Weighted Regression (A. Stewart Fotheringham, et al.).
Zone Design as a Spatial Analysis Tool (Seraphim Alvanides, et al.).
PART 3: CHANGING THE SCALE OF MEASUREMENT.
Measuring Scale Effects caused by Map Generalization and the Importance of Displacement (Elsa M. Joao).
Modelling Wildlife Distribution from Multi-Scale Spatial Data with GIS (Richard J. Aspinall).
Determining the Spatial Scale of Variation in Environmental Properties using the Variogram (Margaret A. Oliver).
Scaling Up and Scaling Down: The Relevance of the Support Effect on Remote Sensing of Vegetation (Jennifer L. Dungan).
Geostatistical Regularization in Remote Sensing (Peter M. Atkinson).
CONCLUSION.
Five Key Recommendations for GI Science (Peter M. Atkinson and Nicholas J. Tate).
Index.
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