Statistics is a branch of mathematics concerned with the collection, quantification, analysis,
interpretation, and presentation of real-world data, and the use of probability theory to …

Spatial econometrics deals with spatial dependence and spatial heterogeneity, critical
aspects of the data used by regional scientists. These characteristics may cause standard …

The comments by Haining (1986) reflect the existence of a variety of viewpoints on
methodological approaches to spatial statistical problems, evident in the recent work of …

The field of spatial econometrics has come to include the methods and models that deal with
estimation and testing problems encountered when attempting to implement regional …

Spatial econometrics can be defined in a narrow and in a broader sense. In a narrow sense
it refers to methods and techniques for the analysis of regression models using data …

Spatial statistics and spatial econometrics have enjoyed fruitful theoretical developments
over the years, beginning in part with the popularizing seminal work of Cliff and Ord [2] …

Spatial regression models allow us to account for dependence among observations, which
often arises when observations are collected from points or regions located in space. The …

James LeSage 1. obseRVation-leVel data dependence spatial econometrics is a subset of
the broader econometrics discipline that deals with modeling situations involving spatially …

In many instances in empirical spatial analysis, the method of choice is a regression
analysis, whereby a variable of interest (the dependent variable) is related in a linear way to …

The volume on New Directions in Spatial Econometrics appeared in 1995 as one of the first
in the then new Springer series on Advances in Spatial Sciences. It very quickly became …