{"product_id":"modelling-scale-in-geographical-information-science-isbn-9780471985464","title":"Modelling Scale in Geographical Information Science","description":"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. \u003cbr\u003e \u003cbr\u003e  Divided into three sections to give a balanced coverage of the key problems, tools and models associated with scale:\u003cbr\u003e * Fractal Models\u003cbr\u003e * The Modifiable Areal Unit Problem\u003cbr\u003e * Changing the Scale of Measurement\u003cbr\u003e 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.  List of Contributors.\u003cbr\u003e \u003cbr\u003e Foreword (Michael Batty).\u003cbr\u003e \u003cbr\u003e Preface.\u003cbr\u003e \u003cbr\u003e INTRODUCTION.\u003cbr\u003e \u003cbr\u003e Models of Scale and Scales of Modelling (Michael F. Goodchild).\u003cbr\u003e \u003cbr\u003e PART 1: FRACTAL MODELS.\u003cbr\u003e \u003cbr\u003e Fractal Characterization of Multitemporal Remote Sensing Data (Dale A. Quattrochi, et al.).\u003cbr\u003e \u003cbr\u003e Fractals and Scale Dependencies in Topography (Nicholas J. Tate and Jo Wood).\u003cbr\u003e \u003cbr\u003e Measuring the 'Urban':Measuring and Modelling a Regional Settlement Hierarchy (Victor Mesev and Paul A. Longley).\u003cbr\u003e \u003cbr\u003e The Multifractal Structure of the Human Population Distribution (Iqbal Adjali and Stephen Appleby).\u003cbr\u003e \u003cbr\u003e PART 2: THE MODIFIABLE AREAL UNIT PROBLEM.\u003cbr\u003e \u003cbr\u003e Behaviour of Regression Models under Random Aggregation (Robin Flowerdew et al).\u003cbr\u003e \u003cbr\u003e Using Local Census Data to Investigate Scale Effects (Mark Tranmer and David Steel).\u003cbr\u003e \u003cbr\u003e Scale Issues and Geographically Weighted Regression (A. Stewart Fotheringham, et al.).\u003cbr\u003e \u003cbr\u003e Zone Design as a Spatial Analysis Tool (Seraphim Alvanides, et al.).\u003cbr\u003e \u003cbr\u003e PART 3: CHANGING THE SCALE OF MEASUREMENT.\u003cbr\u003e \u003cbr\u003e Measuring Scale Effects caused by Map Generalization and the Importance of Displacement (Elsa M. Joao).\u003cbr\u003e \u003cbr\u003e Modelling Wildlife Distribution from Multi-Scale Spatial Data with GIS (Richard J. Aspinall).\u003cbr\u003e \u003cbr\u003e Determining the Spatial Scale of Variation in Environmental Properties using the Variogram (Margaret A. Oliver).\u003cbr\u003e \u003cbr\u003e Scaling Up and Scaling Down: The Relevance of the Support Effect on Remote Sensing of Vegetation (Jennifer L. Dungan).\u003cbr\u003e \u003cbr\u003e Geostatistical Regularization in Remote Sensing (Peter M. Atkinson).\u003cbr\u003e \u003cbr\u003e CONCLUSION.\u003cbr\u003e \u003cbr\u003e Five Key Recommendations for GI Science (Peter M. Atkinson and Nicholas J. Tate).\u003cbr\u003e \u003cbr\u003e Index.  \"...a worthwhile addition to libraries...\" (The Photogrammetric Record, October 2002)  \u003cp\u003e\"...this is an excellent book with comprehensive technical content and flowing textbook style of writing. ... valuable reading. (Environment \u0026amp; Planning B: (Planning \u0026amp; Design), (No. 30\/1 2003)\u003c\/p\u003e  \u003cp\u003eNicholas Tate is the editor of Modelling Scale in Geographical Information Science, published by Wiley. Peter M. Atkinson is the editor of Modelling Scale in Geographical Information Science, published by Wiley.   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. \u003ci\u003eModelling Scale in Geographical Information Science\u003c\/i\u003e 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.  \u003c\/p\u003e\u003cp\u003eThis book is split into three sections to give a balanced coverage of the key problems, tools and models associated with scale. Part 1 considers the fractal model of spatial variation. Fractals are mathematical models of spatial variation which are independent of scale. Part 2 addresses the modifiable areal unit problem (MAUP), which continues to be the scale issue for census data. The MAUP is comprised of two component problems: a scaling problem and a zonation problem and is intrinsic to the spatial analysis of census-type data in which the areal units vary from place to place in size, shape and orientation. The concepts of changing scale and regularization are covered in Part 3. The emphasis here is upon the tools of geostatistics (for continuous field data) and generalization (for vector models) which are used to change the scale of measurement.\u003c\/p\u003e \u003cp\u003eThis 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.\u003c\/p\u003e","brand":"Wiley","offers":[{"title":"Default Title","offer_id":47989638398181,"sku":"NP9780471985464","price":215.95,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1842\/7735\/files\/9780471985464.jpg?v=1761784912","url":"https:\/\/k12savings.com\/products\/modelling-scale-in-geographical-information-science-isbn-9780471985464","provider":"K12savings","version":"1.0","type":"link"}