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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…mehr
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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Autorenporträt
Professor A. Stewart Fotheringham Science Foundation Ireland Research Professor and Director, National Centre for Geocomputation, John Hume Building, National University of Ireland at Maynooth, Maynooth, Co. Kildare, Ireland. Professor Fotheringham′s research interests include: the integration of spatial analysis and GIS; spatial statistics; exploratory spatial data analysis; and spatial modelling. He has co-authored software on GWR that has been distributed to a wide variety of agencies and individuals throughout the world. He is an editor of Transactions in GIS, a co-editor of several books and a co-author of several others, including Quantitative Geography: Perspectives on Spatial Data Analysis (SAGE, 2000) and Geographically Weighted Regression: An Analysis of Spatially Varying Relationships (Wiley, 2002). He has published over 100 articles in refereed journals. Professor Peter A. Rogerson Department of Geography and National Center for Geographic Information and Analysis, State University of New York. Professor Rogerson′s research interests are in the areas of spatial statistics, spatial epidemiology, and demography. His most recent work has focused upon developing methods for the quick detection of emerging geographic patterns, and the application of these methods to finding clusters of crime and disease. He is the author of Statistical Methods for Geography (SAGE 2000), and his work has been published in refereed journals from a wide variety of disciplines, including statistics, planning, biology, psychology, astronomy, and epidemiology.
Inhaltsangabe
Introduction Stewart Fotheringham and Peter A Rogerson The Special Nature of Spatial Data Robert Haining The Role of GIS David Martin Geovisualisation and Geovisual Analytics Urka Demar Availability of Spatial Data Mining Techniques Shashi Shekhar et al Spatial Autocorrelation Marie José Fortin and Mark R T Dale The Modifiable Areal Unit Problem (MAUP) David Wong Spatial Weights Robin Dubin Geostatistics and Spatial Interpolation Peter M Atkinson and Christopher D Lloyd Spatial Sampling Eric Delmelle Statistical Inference for Geographical Processes Chris Brunsdon Fuzzy Sets in Spatial Analysis Vincent B Robinson Geographically Weighted Regression Stewart Fotheringham Spatial Regression Luc Anselin Spatial Microsimulation D Ballas and G P Clarke Detection of Clustering in Spatial Data Lance Waller Bayesian Spatial Analysis Andrew B Lawson and Sudipto Banerjee Monitoring Changes in Spatial Patterns Peter A Rogerson Case Control Clustering for Mobile Populations Geoffrey M Jacquez and Jaymie R Meliker Neural Networks for Spatial Data Analysis Manfred M Fischer Geocomputation Harvey J Miller Applied Retail Location Models Using Spatial Interaction Tools Morton E O¿Kelly Spatial Analysis on a Network Atsuyuki Okabe and Toshiaki Satoh Challenges in Spatial Analysis Michael F Goodchild The Future for Spatial Analysis Reginald G Golledge
Introduction Stewart Fotheringham and Peter A Rogerson The Special Nature of Spatial Data Robert Haining The Role of GIS David Martin Geovisualisation and Geovisual Analytics Urka Demar Availability of Spatial Data Mining Techniques Shashi Shekhar et al Spatial Autocorrelation Marie José Fortin and Mark R T Dale The Modifiable Areal Unit Problem (MAUP) David Wong Spatial Weights Robin Dubin Geostatistics and Spatial Interpolation Peter M Atkinson and Christopher D Lloyd Spatial Sampling Eric Delmelle Statistical Inference for Geographical Processes Chris Brunsdon Fuzzy Sets in Spatial Analysis Vincent B Robinson Geographically Weighted Regression Stewart Fotheringham Spatial Regression Luc Anselin Spatial Microsimulation D Ballas and G P Clarke Detection of Clustering in Spatial Data Lance Waller Bayesian Spatial Analysis Andrew B Lawson and Sudipto Banerjee Monitoring Changes in Spatial Patterns Peter A Rogerson Case Control Clustering for Mobile Populations Geoffrey M Jacquez and Jaymie R Meliker Neural Networks for Spatial Data Analysis Manfred M Fischer Geocomputation Harvey J Miller Applied Retail Location Models Using Spatial Interaction Tools Morton E O¿Kelly Spatial Analysis on a Network Atsuyuki Okabe and Toshiaki Satoh Challenges in Spatial Analysis Michael F Goodchild The Future for Spatial Analysis Reginald G Golledge
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