Titlebook: Exploratory and explanatory statistical analysis of spatial data; Cornelis P. A. Bartels,Ronald H. Ketellapper Book 1979 Martinus Nijhoff

UTTER

Dungeon

Construction of interregional input-output tables by efficient information addingMuch theoretical and empirical work in regional economics has been devoted to the problems of constructing and estimating intra- and interregional input-output tables (see, for example, Riefler, 1973; Paelinck and Nijkamp, 1976, for a survey). There are several reasons for this.

Fissure

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開始從未

978-94-009-9235-1Martinus Nijhoff Publishing 1979

mediocrity

Operational statistical methods for analysing spatial dataincorporate both well-developed standard a-spatial statistical methods, and new adaptations of such methods to the specific spatial context. The first set of techniques dominates and seems to have yielded less controversial and better interpretable results than the second. However, for both approach

啞巴

Further evidence on alternative procedures for testing of spatial autocorrelation among regression dce of autocorrelation. The problem was first recognized by statisticians dealing with temporal regression analysis. This led to the development of tests for temporal autocorrelation (see, for example, von Neumann, 1941; Durbin and Watson, 1950, 1951 and 1971). Because these tests require estimators

Lasting

Multivariate models of dependent spatial data 1975; Cliff et al., 1975; Clark et al., 1974; Granger, 1975; Mather and Openshaw, 1974; Unwin and Hepple, 1974). Since I do not feel qualified enough in spatial analysis to add another paper to this admirable list, I have attempted a rather more limited topic: multivariate data analysis in situatio

Ordeal

Bayesian analysis of the linear model with spatial dependence econometrics has been based entirely on sampling theory approaches (e. g. Neyman-Pearson and maximum likelihood) to statistical inference, and the Bayesian perspective has not been explored for spatial estimation. In contrast, the mainstream of econometric work has been influenced by the Bayesian a

創(chuàng)新

JOG

Two estimation methods for singly constrained spatial distribution modelsa like residential and shopping interactions (Wilson, 1974). These distribution models differ according to the constraints being imposed. Generally, a distinction can be made between models with one constraint and those with two. This paper concentrates on the distribution model with one constraint,