Journal ArticleDOI
Estimation Methods for Models of Spatial Interaction
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In this paper, a simplified computational scheme is given and extended to mixed regressive-autoregressive models for spatial interaction, and the ML estimator is compared with several alternatives.Abstract:
Autoregressive models for spatial interaction have been proposed by several authors (Whittle [15] and Mead [11], for example). In the past, computational difficulties with the ML approach have led to the use of alternative estimators. In this article, a simplified computational scheme is given and extended to mixed regressive-autoregressive models. The ML estimator is compared with several alternatives.read more
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Introduction to spatial econometrics
TL;DR: In this article, an introduction to spatial econometric models and methods is provided that discusses spatial autoregressive processes that can be used to extend conventional regression models and an applied example that examines the relationship between commuting to work times and transportation mode choice for a sample of 3,110 US counties in the year 2000.
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GeoDa: An Introduction to Spatial Data Analysis
TL;DR: The development of specialized software for spatial data analysis has seen rapid growth since the lack of such tools was lamented in the late 1980s by Haining (1989) and cited as a major impediment to the adoption and use of spatial statistics by GIS researchers.
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Geographically Weighted Regression: A Method for Exploring Spatial Nonstationarity
TL;DR: A technique is developed, termed geographically weighted regression, which attempts to capture variation by calibrating a multiple regression model which allows different relationships to exist at different points in space by using Monte Carlo methods.
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Social Contagion and Innovation: Cohesion versus Structural Equivalence
TL;DR: In this paper, two classes of network models are used to reanalyze a sociological classic often cited as evidence of social contagion in the diffusion of technological innovation: Medical Innovation.
References
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Journal ArticleDOI
Handbook of Mathematical Functions
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On stationary processes in the plane
TL;DR: The sampling theory of stationary processes in space is not completely analogous to that of stationary time series, due to the fact that the variate of a time series is influenced only by past values, while for a spatial process dependence extends in all directions as mentioned in this paper.
Journal ArticleDOI
Application of Least Squares Regression to Relationships Containing Auto-Correlated Error Terms
D. Cochrane,G. H. Orcutt +1 more
TL;DR: Evidence is presented showing that the error terms involved in most current formulations of economic relations are highly positively autocorrelated and it is demonstrated that when estimates of autoregressive properties of error terms are based on calculated residuals there is a large bias towards randomness.