The SAGE Handbook of Spatial Analysis
eBook - PDF

The SAGE Handbook of Spatial Analysis

  1. 528 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

About this book

The widespread use of Geographical Information Systems (GIS) has significantly increased the demand for knowledge about spatial analytical techniques across a range of disciplines. As growing numbers of researchers realise they are dealing with spatial data, the demand for specialised statistical and mathematical methods designed to deal with spatial data is undergoing a rapid increase.

Responding to this demand, The Handbook of Spatial Analysis is a comprehensive and authoritative discussion of issues and techniques in the field of Spatial Data Analysis. Its principal focus is on:

• why the analysis of spatial data needs separate treatment

• the main areas of spatial analysis

• the key debates within spatial analysis

• examples of the application of various spatial analytical techniques

• problems in spatial analysis

• areas for future research

Aimed at an international audience of academics, The Handbook of Spatial Analysis will also prove essential to graduate level students and researchers in government agencies and the private sector.

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Yes, you can access The SAGE Handbook of Spatial Analysis by A Stewart Fotheringham, Peter A Rogerson, A Stewart Fotheringham,Peter A Rogerson in PDF and/or ePUB format, as well as other popular books in Sciences sociales & Recherche scientifique et méthodologie. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. COVER
  2. Contents
  3. Notes on Contributors
  4. 1Introduction
  5. 2 The Special Nature of Spatial Data
  6. 3 The Role of GIS
  7. 4 Geovisualization and Geovisual Analytics
  8. 5 Availability of Spatial Data Mining Techniques
  9. 6 Spatial Autocorrelation
  10. 7 The Modifiable Areal Unit Problem (MAUP)
  11. 8 Spatial Weights
  12. 9 Geostatistics and Spatial Interpolation
  13. 10 Spatial Sampling
  14. 11 Statistical Inference for Geographical Processes
  15. 12 Fuzzy Sets in Spatial Analysis
  16. 13 Geographically Weighted Regression
  17. 14 Spatial Regression
  18. 15 Spatial Microsimulation
  19. 16 Detection of Clustering in Spatial Data
  20. 17 Bayesian Spatial Analysis
  21. 18 Monitoring Changes in Spatial Patterns
  22. 19 Case-Control Clustering for Mobile Populations
  23. 20 Neural Networks for Spatial Data Analysis
  24. 21 Geocomputation
  25. 22 Applied Retail Location Models Using Spatial Interaction Tools
  26. 23 Spatial Analysis on a Network
  27. 24 Challenges in Spatial Analysis
  28. 25 The Future for Spatial Analysis
  29. Index