The Handbook is written for academics, researchers, practitioners and advanced graduate students. It has been designed to be read by those new or starting out in the field of spatial analysis as well as by those who are already familiar with the field. The chapters have been written in such a way that readers who are new to the field will gain important overview and insight. At the same time, those readers who are already practitioners in the field will gain through the advanced and/or updated tools and new materials and state-of-the-art developments included. This volume provides an accounting of the diversity of current and emergent approaches, not available elsewhere despite the many excellent journals and te- books that exist. Most of the chapters are original, some few are reprints from the Journal of Geographical Systems, Geographical Analysis, The Review of Regional Studies and Letters of Spatial and Resource Sciences. We let our contributors – velop, from their particular perspective and insights, their own strategies for m- ping the part of terrain for which they were responsible. As the chapters were submitted, we became the first consumers of the project we had initiated. We gained from depth, breadth and distinctiveness of our contributors’ insights and, in particular, the presence of links between them.
Table des matières
GI Software Tools.- Spatial Statistics in Arc GIS.- Spatial Statistics in SAS.- Spatial Econometric Functions in R.- Geo Da: An Introduction to Spatial Data Analysis.- STARS: Space-Time Analysis of Regional Systems.- Space-Time Intelligence System Software for the Analysis of Complex Systems.- Geostatistical Software.- Geo Surveillance: GIS-based Exploratory Spatial Analysis Tools for Monitoring Spatial Patterns and Clusters.- Web-based Analytical Tools for the Exploration of Spatial Data.- Py SAL: A Python Library of Spatial Analytical Methods.- Spatial Statistics and Geostatistics.- The Nature of Georeferenced Data.- Exploratory Spatial Data Analysis.- Spatial Autocorrelation.- Spatial Clustering.- Spatial Filtering.- The Variogram and Kriging.- Spatial Econometrics.- Spatial Econometric Models.- Spatial Panel Data Models.- Spatial Econometric Methods for Modeling Origin-Destination Flows.- Spatial Econometric Model Averaging.- Geographically Weighted Regression.- Expansion Method, Dependency, and Multimodeling.- Multilevel Modeling.- The Analysis of Remotely Sensed Data.- ARTMAP Neural Network Multisensor Fusion Model for Multiscale Land Cover Characterization.- Model Selection in Markov Random Fields for High Spatial Resolution Hyperspectral Data.- Geographic Object-based Image Change Analysis.- Applications in Economic Sciences.- The Impact of Human Capital on Regional Labor Productivity in Europe.- Income Distribution Dynamics and Cross-Region Convergence in Europe.- A Multi-Equation Spatial Econometric Model, with Application to EU Manufacturing Productivity Growth.- Applications in Environmental Sciences.- A Fuzzy -Means Classification and a Bayesian Approach for Spatial Prediction of Landslide Hazard.- Incorporating Spatial Autocorrelation in Species Distribution Models.- A Web-based Environmental Decision Support System for Environmental Planning and Watershed Management.- Applications in Health Sciences.- Spatio-Temporal Patterns of Viral Meningitis in Michigan, 1993 – 2001.- Space-Time Visualization and Analysis in the Cancer Atlas Viewer.- Exposure Assessment in Environmental Epidemiology.
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