Despite spatial statistics and spatial econometrics both being recent sprouts of the general tree "spatial analysis with measurement"—some may remember the debate after WWII about "theory without measurement" versus "measurement without theory"—several general themes have emerged in the pertaining literature. But exploring selected other fields of possible interest is tantalizing, and this is what the authors intend to report here, hoping that they will suscitate interest in the methodologies exposed and possible further applications of these methodologies. The authors hope that reactions about their publication will ensue, and they would be grateful to reader(s) motivated by some of the research efforts exposed hereafter letting them know about these experiences.
Author(s): Daniel A. Griffith, Jean H. Paul Paelinck (auth.)
Series: Advances in Geographic Information Science 1
Edition: 1
Publisher: Springer-Verlag Berlin Heidelberg
Year: 2011
Language: English
Pages: 264
Tags: Geography (general); Migration; Economics/Management Science, general
Front Matter....Pages i-xxxv
Front Matter....Pages 1-1
Introduction: Spatial Statistics....Pages 3-3
Individual Versus Ecological Analyses....Pages 5-23
Statistical Models for Spatial Data: Some Linkages and Communalities....Pages 25-35
Frequency Distributions for Simulated Spatially Autocorrelated Random Variables....Pages 37-73
Understanding Correlations Among Spatial Processes....Pages 75-95
Spatially Structured Random Effects: A Comparison of Three Popular Specifications....Pages 97-115
Spatial Filter Versus Conventional Spatial Model Specifications: Some Comparisons....Pages 117-149
The Role of Spatial Autocorrelation in Prioritizing Sites Within a Geographic Landscape....Pages 151-170
General Conclusions: Spatial Statistics....Pages 171-173
Front Matter....Pages 175-175
Introduction: Spatial Econometrics....Pages 177-177
A Mixed Linear-Logarithmic Specification for Lotka-Volterra Models with Endogenously Generated SDLS-Variables....Pages 179-187
Selecting Spatial Regimes by Threshold Analysis....Pages 189-197
Finite Automata....Pages 199-206
Learning from Residuals....Pages 207-215
Verhulst and Poisson Distributions....Pages 217-225
Qualireg, A Qualitative Regression Method....Pages 227-233
Filtering Complexity for Observational Errors and Spatial Bias....Pages 235-242
General Spatial Econometric Conclusions....Pages 243-243
Back Matter....Pages 245-262
