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